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DESCRIPTION
The Center for Systems Biology Dresden (CSBD) is seeking applications for
ELBE Postdoctoral Fellows
The ELBE Postdoctoral Fellows Program welcomes independent researchers on the postdoctoral level, who come with their own research proposal and freely choose which groups to affiliate with. The program provides an ideal springboard to an independent research career in systems biology, theoretical biophysics, computational biology, mathematics in the life sciences, computer science, and machine learning with application to biological systems and related areas.
What we provide:
The CSBD provides fully funded, 2-3-year positions in an international and cross-disciplinary research environment. ELBE postdoctoral fellows benefit from close collaborations with scientists at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), and the Technische Universität Dresden (TUD), and a stimulating and inspiring atmosphere. Further information can be accessed by visiting our webpage at http://www.csbdresden.de.
Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and international scientific city, with a large number of research institutions that collaborate under the DRESDEN-concept umbrella. Its position as an outstanding location for research and science is recognized worldwide. Since 2012, the TU Dresden is one of eleven excellence universities in Germany.
What we seek:
The ELBE program seeks outstanding external candidates who are passionate about bringing new ideas, concepts, or systems to the Center. ELBE postdoctoral fellows pursue an interdisciplinary research project in collaboration with members of the CSBD. They are encouraged to develop and use theoretical or computational approaches to study biological systems in close collaboration with experimental groups at the MPI-CBG and the TUD. Ideal candidates should have backgrounds in physics, computer science, mathematics, or a related discipline, with a strong interest in working in a cross-disciplinary life science environment. In some exceptional cases, ELBE fellows can be analytically-minded experimentalists in the field of cell or developmental biology, who work between a lab and a CSBD research group.
HOW TO APPLY
For details about the application procedure, please visit our website http://www.csbdresden.de/join-us/as-a-postdoc/.
Selection of ELBE fellows is based on scientific merit with two application cycles per year. Short-listed candidates should be prepared to join a selection symposium held in Dresden on May 7, 2024. Travel costs will be covered by the CSBD.
DEADLINE
The deadline for applications is February 29, 2024.
POLICY
The Max Planck Society is an equal opportunity employer. Disabled individuals are strongly encouraged to apply. The Center for Systems Biology, the MPI-CBG, and the MPI-PKS aim to increase the number of women in scientific positions, therefore female applicants are particularly welcome. For more information on our efforts to balance family and career, please see http://www.csbdresden.de/about-us/equal-opportunities.
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BACKGROUND
The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society.
The department of Tissue Dynamics and Regeneration (Prof. Dr. Jochen Rink) invites applications for a position as
Bioinformatics Staff Scientist/genome database manager (f/m/x)
About us:
We are a young, international department and our working language is English. We study the fascinating ability of planarians to regenerate complete animals from tissue pieces and conduct worldwide expeditions to study the evolution of regenerative abilities within the taxon. Our scientific approach includes genome sequencing, comparative genomics and various next generation sequencing techniques. Further, we established and maintain PlanMine, the Planarian research community's online resource (https://planmine.mpinat.mpg.de/planmine/begin.do).
About the position:
We are looking for an experienced model organism genome researcher to spearhead and curate the further evolution of the PlanMine web resource. You will be an integral part of the department's bioinformatics subgroup and involved in our ongoing genomics research. You will also interface with the local IT service provider (GWDG) and the university informatics department re technical aspects of PlanMine hosting and development. You will also bridge to the world-wide user community, e.g. by organizing curation efforts, parsing and implementing user suggestions or presenting new database features at international meetings. Thus, you will have the opportunity to remain at the cutting edge of big data management, expand your world-wide contact network or to additionally pursue your own research interests in genome evolution.
RESPONSIBILITIES
- Overseeing the maintenance and further development of the PlanMine web resource.
- Coordinating and publishing new database releases/features.
- Implementing and overseeing web-based curation efforts.
- Developing and implementing web applications for the exploration of large datasets.
- Databasing and analysis of large biological datasets, primarily, but not exclusively produced from NGS experiments.
REQUIREMENTS
Your profile:
- You hold a PhD in a Life Sciences or Bioinformatics subject.
- You have extensive hands-on experience with the use, upkeep and management of model organism genome browsers.
- You are familiar with Linux-based server environments and have demonstrated experience in one or more of the following: Java/Javascript, HTML/CSS, MySQL, PostgreSQL and server administration.
- As a person, you are a team player, you have excellent communication skills, you are fluent in English and a biologist at heart.
- You are self-motivated and able to multitask/prioritize different projects.
Additional experience in one or more of the following will be considered a plus:
- Community-based workshops/hackathlons.
- Biological dataset visualization on the web (e.g. intermine, bluegenes, wormbase, biomart, R Shiny).
- RNA-Seq data analysis of bulk or single cell data (e. g. clustering, differential gene expression, gene set enrichment, trajectory analysis).
- Genome/transcriptome assembly; novel gene or protein annotation, orthology assignment.
- Advanced statistics & machine learning techniques.
- Supervision of students or other team members.
WE OFFER
- Inspiring, world-class research environment.
- Opportunities to participate in the department's world-wide field expeditions.
- Moving assistance for the ones joining us from abroad and help with getting settled in Göttingen.
- Professional training, networking and career-development opportunities; free language courses.
- On-site health management: free fitness and yoga room, sports groups, beach volleyball league, and courses for a "moving lunch break".
- A wide range of opportunities to balance work and family life, including an on-campus kindergarten and vacation care.
- Initiatives for sustainability and a green environment with an on-site biotope.
- Close proximity to the historic town center of Göttingen with rich cultural opportunities and a vibrant student scene.
- Green and peaceful surroundings that are great for running, hiking, cycling and other outdoor activities.
COMPENSATION/RECRUITMENT
The position should be filled as soon as possible; the exact start date is flexible. The payment and benefits are based on the TVöD (wage agreement for public service personnel) guidelines. Positions are initially limited to two years with a possibility of extension.
HOW TO APPLY
Please submit your application including a cover letter, CV, transcripts and publication record (if applicable), and the contact addresses of three referees as a single document, preferably as a PDF file. Please make sure that the cover letter clearly states your motivation for why you want to join the department and your relevant experience that qualifies you for this position. Review of applications will begin immediately. Please submit your application to
ausschreibung58-23[at]mpinat.mpg.de
Max Planck Institute for Multidisciplinary Sciences
Department "Tissue Dynamics and Regeneration"
Herrn Prof. Dr. Jochen Rink
Am Fassberg 11
37077 Göttingen
Germany
POLICY
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.
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DESCRIPTION
A Postdoc in computational biology is available in the Diaz lab at UCSF (https://diazlab.ucsf.edu), funded by grants from the NIH and private foundations. As a member of the UCSF Brain Tumor Center (https://braintumorcenter.ucsf.edu) our mission is the development of therapeutics for brain cancer. Our core competencies include single-cell and spatial genomics, bioinformatics, and brain-tumor biology.
We have ongoing research efforts studying immune brain tumors via functional genomics approaches. We have been profiling clinical specimens using single-cell and spatial technologies and have generated several million single-cell mRNA, ATAC, scCUT&Tag, ST, and other libraries from hundreds of human adult and pediatric brain tumors. Additionally, we are pioneering digital spatial profiling and single-cell epigenetic assays, as well as machine-learning and bioinformatics approaches to analyze these data.
The duties of bioinformatics postdocs include bioinformatics analyses of single-cell, spatial, and bulk 'omics data. The minimum requirements for the position are: 1) a PhD in the biomedical sciences or a related discipline; 2) experience with 'omics data analysis and strong programming skills in a relevant language (e.g. R, Python); 3) a first-author paper in a respectable journal; 4) fluency in English, and the interpersonal skills to negotiate professional interactions in a diverse environment; and 5) the willingness to work hard in the pursuit of shared goals.
HOW TO APPLY
Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:
- CV
- Cover letter, please indicate your preferred start date.
- Names and contacts of three references.
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BACKGROUND
A Postdoctoral Research Associate position is currently open within the Division of Epidemiology, Department of Medicine at Vanderbilt University Medical Center (VUMC). Our research focus spans cancer etiology, prevention, precision medicine, and drug repurposing, employing advanced bioinformatics, statistical, machine learning, and deep learning methodologies. We also integrate multi-omics and Electronic Health Records (EHR) in our investigations. The lab has received funding from multiple NIH grants, including R37/R01 (i.e., NCI-funded transcriptome-wide association study and proteome-wide association studies in colorectal cancer). The Principal Investigator (PI) has authored >110 peer-reviewed publications, including recent high impact publications as lead author in Cancer Discovery, Gastroenterology, Journal of the National Cancer Institute, Nature communications, and American Journal of Human Genetics.
Our ongoing research is centered on population-based molecular, genetic, and genomic epidemiologic studies aimed at identifying susceptibility genes, biomarkers and therapeutic drug targets for various cancers and diseases. We utilize and develop bioinformatics/statistical tools and pipelines to analyze extensive multi-omics data, including whole genome sequencing (WGS), whole exome sequencing (WES), RNA-seq, array-based genotyping, epigenetics, proteomics data, metabolomics, and single-cell omics data. We also conduct integrative analyses of omics data and develop natural language processing algorithms using resources from approximately 5.5 million patients' EHRs at VUMC. These efforts aim to provide potential avenues for the prevention and therapeutic intervention of human cancers and other diseases. The selected candidate will lead independent research projects focusing on statistical genetics, epigenetics, and bioinformatics in genetic epidemiology related studies.
Please find more information about us @ http://www.guoxlab.org
RESPONSIBILITIES
Under guidance from Dr Xingyi Guo, the candidate is expected to work on a wide range of Bioinformatics, Genetic Epidemiology, and Multi-omics projects. He/she should have:
- A PhD in bioinformatics, genetic epidemiology, biostatistics, genomics/epigenetics, machine/deep learning or related fields.
- Strong experience with script languages such as Python, Perl or R. Experience with the Linux/Unix environment is required.
- Good knowledge in statistical computing or machine/deep learning.
- Good interpersonal skills.
- An excellent grasp of English, both in writing and speech.
COMPENSATION
Salary is commensurate with the NIH pay scale. The postdoc positions will be provided with benefits following the VUMC standards.
HOW TO APPLY
To apply, please send a cover letter, CV, summary of past work, and the names and email addresses of three references to Dr. Xingyi Guo at xingyi.guo[at]vumc.org.
ABOUT US
The Vanderbilt Epidemiology Center is committed to conducting research to enhance and expand our understanding of the distribution and determinants of disease, to promoting collaboration aimed at the translation of research into cost-effective strategies of disease prevention and health care delivery, and to training independent investigators in epidemiology research and disease prevention. The center has considerable strengths in international epidemiologic research and training and has close ties with multiple domestic and international institutions, furthering our mission to improve the health of human beings.
POLICY
VUMC wishes to reflect the diversity of society and welcomes applications from all qualified candidates, regardless of backgrounds and individual characteristics.
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The New York Stem Cell Foundation (NYSCF) Research Institute is a growing and successful nonprofit whose mission is to accelerate cures for the diseases of our time through stem cell research.
As a (Senior) Staff Scientist, Computational Biology / Bioinformatics, you will be responsible for building custom tools and developing novel algorithms for analyzing genomic and (single-cell) transcriptomic data created at the NYSCF Research Institute. Your expertise should encompass a strong foundation in statistics, deep/machine learning and data science, coupled with in-depth knowledge of molecular biology and genetics. You will also have experience building pipelines for high-throughput molecular sequencing technologies and a proven track record of data analysis method development. We encourage applications from individuals with knowledge of stem cell / developmental biology or any diseases studied at NYSCF. In this role, you will report to the VP, Computational Biology.
What you'll do:
- Develop deep/machine learning models for the integration and interrogation of multimodal data sets comprising molecular sequencing, health records, microscopic imaging, and other modalities
- Create tools for the optimization of cell fate engineering protocols and screening experiments
- Maintain and improve tools for ancestry inference from genotyping arraysImprove the detection of genomic abnormalities from sequencing and genotyping data to support QC of cell line production
- Prototype, develop, deploy, and document pipelines for quality control, analysis and annotation of high-throughput sequencing data
- Keep track of recent developments in computational biology, benchmark newly published methods and incorporate them into gold standard pipelines
- Develop and implement novel data visualization strategies to summarize results and QC features
- Migrate data storage and analysis pipelines to cloud-computing infrastructure (AWS)
- Connect molecular profiling data with cell line metadata database
- Support experimental groups with data organization and analysis and advise on experiment design for sequencing and other high-throughput assays
- Report new methods and scientific results in presentations and publications
What we're looking for:
- PhD in Biology, Bioinformatics, Genomics, Computational Biology or a similar field, or MS degree and 5+ years of relevant work experience
- A firm grasp of statistics, deep/machine learning and bioinformatics
- Programming experience in Python and/or R and knowledge of software design principles
- Experience with Linux command line tools and shell scripts
- Basic database skills (SQL) and experience with database integration
- Grasp of molecular biology and genetics
- Knowledge of sequencing technologies such as (single-cell) RNA-seq, WGS/WES, ATAC-seq, etc.
- Familiarity with standard tools for QC, alignment, quantification and downstream analysis of sequencing data
- Ability to work in a multi-disciplinary environment of computational biologists, wetlab biologists and translational scientists
- Familiarity with cloud computing infrastructures (ideally AWS)
- Experience with visualization tools such as matplotlib or ggplot2 is a plus
- Knowledge of or a keen interest in stem cell and disease biology is a plus
- Level will be commensurate with experience
The base starting salary range for the Staff Scientist position is $85,000 - $110,000 USD. The base starting salary range for the Senior Staff Scientist position is $110,000 - $150,000 USD. NYSCF has a 35-hour workweek. The (Senior) Staff Scientist level is classified as exempt. Multiple factors, including your experience, determine final offer amounts and levels and may vary from the amounts listed above.
At NYSCF, we believe diversity in all forms makes us a better team, and we celebrate it. Yet studies have shown that women, people of color, and other minoritized individuals in STEM may be less likely to apply to jobs where they do not meet all of the criteria. Therefore, if you are excited about this role but your past experience does not align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
We offer all full-time employees a comprehensive benefits package that goes into effect on the first of the month following your start date. It includes a choice of medical, dental, and vision insurance (with 100% of the premiums paid for employees and subsidies for any dependents), 403b retirement plan with 5% employer match (immediate vesting schedule which starts after your first 90 days), short and long term insurance, life insurance, inclusive paid parental leave program, pretax transit and parking, legal aid benefits and wellness benefits. Our paid time off includes vacation, sick, personal days, flexible holidays, summer flex program, and all company holidays. If a visa is required, NYSCF will cover all of those costs. Relocation will sometimes be necessary; therefore, we will provide you with an allowance.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification upon hire.
NYSCF is an equal opportunity employer, and we value diversity in our organization. We provide equal opportunities to all applicants for employment without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.
The position is based at our location in Manhattan.
Recruitment Phishing Scams:
Fake job advertisements and offers are increasingly appearing on the internet. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond and report it to the Federal Trade Commission (https://reportfraud.ftc.gov/#/) and the FBI at https://www.ic3.gov/Home/ComplaintChoice. You can also contact our team jobs[at]nyscf.org to report details of your experience.
Please be mindful of the following:
- NYSCF will only reach out to you through an @nyscf.org email address.
- Other than your email address or telephone number, which you may provide via a job application portal, NYSCF will never ask you to provide personally identifiable information about yourself (such as a Social Security Number or Driver's License Number) via a messaging application (like that used on the LinkedIn platform or Microsoft Teams or Zoom).
- NYSCF will conduct interviews face-to-face over Zoom or in person.
- All job postings will be listed on NYSCF's official career page (https://nyscf.org/careers). If someone contacts you about a job or position that is not listed on the official career page, please contact the NYSCF recruitment team at the contact information below.
- If you have any questions regarding the validity of a recruitment inquiry or an interview, please contact the NYSCF's recruitment team at jobs[at]nyscf.org to confirm before proceeding.
Apply Here: https://www.click2apply.net/zWp7ezUdr12XPtG46sb5yG
PI234797468
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DESCRIPTION
The University of North Carolina Charlotte (UNC Charlotte) announces the search for the Chair of the Department of Bioinformatics and Genomics (BIG) in the College of Computing and Informatics (CCI). This is a unique opportunity to lead and grow innovative programs with a mission to turn biological data into knowledge for the benefit of humanity. This is a 12-month, tenured position at the rank of professor.
With enrollment exceeding 30,000 students, UNC Charlotte is North Carolina's urban research university nestled in one of America's fastest growing and most diverse cities. The University has a strong focus going forward on student success and access, and research results that strive to advance the institution's quality and growth through diversity, equity, and inclusivity.
The Bioinformatics and Genomics (BIG) department is one of the three departments in the College of Computing and Informatics (CCI) and employs 21 faculty members dedicated full-time to the Department and its programs as well as research staff, full-time office and laboratory staff, and part-time instructors.
HOW TO APPLY
A complete position description and more information about the University can be https://apptrkr.com/4810341.
Academic Search is pleased to be assisting with the recruitment of this position. Two senior consultants welcome confidential conversations: Cynthia M. Patterson at Cynthia.Patterson[at]academicsearch.org or Maria Thompson at Maria.Thompson[at]academicsearch.org. For full consideration, applicant materials should be submitted by January 29, 2024 to Please send materials by email as PDF document attachments to BIOGCHAIR[at]academicsearch.org.
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BACKGROUND
Dr. Zizhang Sheng's lab at Columbia University applies bioinformatics and biochemical approaches to elucidate the mechanisms of humoral immune response to infection (HIV, SARS-CoV-2, influenza, malaria, etc.) and to understand the role and origin of autoreactive B cells in autoimmunity (systemic lupus erythematosis, IgA nephropathy, etc.). More descriptions of the Sheng lab can be found here: https://www.infectiousdiseases.cuimc.columbia.edu/profile/zizhang-sheng-phd. The Sheng lab purses scientific research in cutting edge fields and have published over 80 papers in Cell, Nature, Nature Communications, Cell Reports, etc. (https://scholar.google.com/citations?user=40ZwAOgAAAAJ&hl=en).
We are seeking a highly motivated and talented individual to join our team as a Bioinformatics Postdoctoral Research Fellow. This position offers an exciting opportunity to contribute to cutting-edge research in the field. The position will involve analyzing next-generation sequencing data of single cell transcriptome and antibody repertoire to study affinity maturation mechanisms of pathogen or auto-antigen specific antibodies and disease pathogenesis. The position will also involve developing machine learning and/or deep learning methods to predict potency of HIV broadly neutralizing antibodies. The successful candidate will work closely with a multidisciplinary team of both computational and experimental researchers and gain valuable experience in advanced data analysis techniques, algorithm development, and the interpretation of NGS data.
RESPONSIBILITIES
- Conduct bioinformatics analyses to interpret high-throughput sequencing data, including transcriptomics and antibody repertoire.
- Develop and implement machine learning and/or deep learning methods to predict potency of HIV broadly neutralizing antibodies.
- Collaborate with experimental biologists to design and execute bioinformatics experiments that address key research questions.
- Participate in scientific discussions, present research findings at conferences, and contribute to scientific publications.
- Mentor and assist junior researchers in bioinformatics techniques and data analysis.
REQUIREMENTS
- Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field.
- Strong programming skills in languages such as Python, R, or Perl.
- Proficiency in using bioinformatics software and tools (e.g., CellRanger, Seurat, SAMtools, etc.).
- Experience with next-generation sequencing data analysis (e.g., RNA-Seq, antibody repertoire).
- Knowledge of statistical analysis methods and machine learning techniques.
- Excellent problem-solving skills and the ability to work both independently and collaboratively.
- Effective communication skills, including the ability to present research findings to diverse audiences.
- A strong publication record and a demonstrated passion for bioinformatics research.
PREFERENCES
Applicants with earlier starting date, strong programing background. Wetlab experience (e.g., PCR, protein expression, ELISA, PCR) will be preferred but not required.
LOCATION
Aaron Diamond AIDS Research Center, Columbia University, New York
COMPENSATION
- Competitive postdoctoral salary ($70K+) and benefits package.
- Access to state-of-the-art computational resources and research facilities.
- Opportunities for collaboration with leading researchers in the field (see our publications).
- Career development and mentorship opportunities.
- A stimulating and inclusive research environment.
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
HOW TO APPLY
Interested candidates are invited to submit the following documents to the Columbia ASR system (https://apply.interfolio.com/135947) or email to zs2248[at]cumc.columbia.edu.
- Cover Letter detailing their research interests and qualifications.
- Curriculum Vitae (CV) with a list of publications.
- Contact information for at least three professional references.
- A brief research statement (up to 2 pages) outlining their past research, current interests, and future goals in bioinformatics.
POLICY
We are an equal opportunity employer and welcome applications from individuals of all backgrounds and experiences. We encourage candidates from underrepresented groups to apply.
Columbia University is committed to fostering a diverse and inclusive research community. We look forward to welcoming new talent to our team and advancing the field of bioinformatics together.
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BACKGROUND
Senior Research Scientists are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML,www.uth.edu/bioinfo/), Center for Precision Health, McWilliams School of Biomedical Informatics (MSBMI), University of Texas Health Science Center at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell omics, and deep learning. Funding (multiple NIH grants (U01, 4 R01s, R03), CPRIT grants, Vice President Office for Cancer Genomic Medicine, lab/center/professorship startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>400 papers since 2009) and has an excellent post-doctoral training track record (e.g. 25 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, one NIH K99 awardee, one received NIH MIRA grant, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared or accepted in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Machine Intelligence, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Advances Science, GigaScience, etc.
The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science Center at Houston. The center is established in UTHealth in response to the emerging need of precision health and artificial intelligence. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.
RESPONSIBILITIES
Key responsibilities:
- Independently design and conduct interdisciplinary genomics and bioinformatics research.
- Assist grant proposal development and manuscript writing.
- Present results in a written paper for publication, in a presentation at a meeting, or through personal contact with faculty members and other researchers.
- Train, support and supervise junior lab members.
- Manage research protocols and research data.
- Provide support and training of genome technologies and bioinformatics analysis to other researchers.
- Other duties as assigned.
REQUIREMENTS
The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the web site http://www.uth.edu/bioinfo/.
LOCATION
Houston, Texas, USA
COMPENSATION
Salary and Benefits: Salary are commensurate with the experience. Promotion to other positions is available too. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).
DEADLINE
Open until it is filled.
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BACKGROUND
The Office for Cancer Genomic Medicine (OCGM) of the University of Texas Health Science Center at Houston (UTHealth), joint with the Center for Precision Health (CPH) at the McWilliams School of Biomedical Informatics (MSBMI), seeks an exceptional candidate for a non-tenure track faculty (open rank) in the areas of translational bioinformatics, genomic medicine, and machine learning.
UTHealth is in the world-renowned Texas Medical Center (TMC), located in cosmopolitan Houston, Texas, the fourth largest city in the United States. OCGM was just created and CPH was established in January 2016, with the funds approved by the Texas Legislature to enhance biomedical and health informatics education and research in the State of Texas in the era of big data and precision medicine. A synergizing entity, CPH builds upon the core strengths of MSBMI (i.e., informatics programs, centers and clinical resources) and School of Public Health (i.e., cohort-based research, statistical genomics, computational biology, environmental, behavioral and policy research programs) and develops both independent and collaborative research programs, as well as precision health resources, for UTHealth and other TMC institutions.
RESPONSIBILITIES
The successful candidate will be expected to plan, supervise, and direct research and/or clinical genomics within the OCGM and/or CPH. Current research topics include bioinformatics, genetic and genomic medicine, single cell omics, deep learning, imaging genomics, and related areas. The candidate will provide technical expertise to lead in the development of study design, sample or data collection, pipeline development, data analysis, results interpretation, manuscript writing, and grant proposal preparation. Collaborative research with other faculty in the Center for Precision Health, at MSBMI, and across UTHealth and the TMC (e.g., MD Anderson Cancer Center, Baylor College of Medicine, Memorial Hermann Hospital System, etc.) is also strongly encouraged. This position provides opportunities to supervise trainees and other staff members, to lead projects or research initiatives, as well as to develop grant applications.
REQUIREMENTS
The candidate should possess a doctoral degree in one of the following areas: bioinformatics, clinical genomics, genetics, computational biology, biomedical informatics, computer science, bioengineering, medicine, biostatistics, or a related discipline. A record of published research in bioinformatics, genetics, or genomics is required. Excellent teamwork and communication skills are required.
LOCATION
Houston, Texas, USA
COMPENSATION
Salary: Competitive and dependent upon qualifications and experience.
DEADLINE
Open until being filled
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BACKGROUND
Multiple postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML,www.uth.edu/bioinfo/), Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth). The successful candidate is expected to join an established bioinformatics team. The ongoing projects focus on deep learning in precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing and single cell omics, and translational/clinical bioinformatics. Funding (multiple NIH grants (U01, 4 R01s, R03), CPRIT grants, Vice President Office for Cancer Genomic Medicine, lab/center/professorship startup) is available to support this position for 3+ years and promotion to faculty positions is possible. The candidate will have the opportunity to access many high throughput datasets and interact with investigators across UTHealth and Texas Medical Center. The lab is highly productive (>400 papers since 2009) and has an excellent post-doctoral training track record (e.g. 25 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, two received CPRIT Scholar faculty recruitment, one NIH K99 awardee, one received NIH MIRA grant, and three were finalists for the Vanderbilt University Postdoc of the Year Award). Recent publications appeared or accepted in journals such as Nature, Nature Medicine, Nature Neurosciences, Nature Communications, Nature Machine Intelligence, Cancer Discovery, Genome Research, Genome Biology, Genome Medicine, NAR, Advances Science, GigaScience, etc.
The BSML lab is part of the new Center for Precision Health (CPH), a joint enterprise by the School of Biomedical Informatics and School of Public Health, The University of Texas Health Science Center at Houston. The center is established in UTHealth in response to the emerging need of precision health and artificial intelligence. The center focuses on precision cancer medicine, pharmacogenomics, deep learning, and translational bioinformatics. UTHealth is part of the world-renowned Texas Medical Center located in cosmopolitan Houston, Texas, the fourth largest city in the United States. SBMI is the first School of its kind and one of the largest biomedical informatics programs in the country.
REQUIREMENTS
The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, genetics, molecular biology, pharmacology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (e.g., Perl, Python, R, or C/C++). Good understanding of genetics or molecular biology is a plus, but not required. For more information about our research, please visit the web site http://www.uth.edu/bioinfo/.
TERMS
3 years or flexible.
LOCATION
Houston, Texas, USA
COMPENSATION
Salary and Benefits: Salary are commensurate with the NIH pay level, and can be higher with strong research experience. Promotion to other positions is available too. All postdocs are provided with the benefits according to the university standard (medical and dental insurance, retirement, etc.).
HOW TO APPLY
Applicants should send a CV and reference to:
Zhongming Zhao (zhongming.zhao[at]uth.tmc.edu)
Chair, Precision Health
Professor and Director, Center for Precision Health
University of Texas Health Science Center at Houston
DEADLINE
Open until the positions are filled.
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OVERVIEW
The https://omrf.org/programs/arthritis-clinical-immunology-research-program/ (http://james.omrf.org; http://Guthridge.omrf.org) is a translational immunology laboratory focused on understanding the pathogenesis, prediction, prevention and precision treatment of immune-mediated diseases to improve patients' lives. We have large, complex experimental datasets partnered with detailed clinical data to help better understand disease and improve treatments.
OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy. OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.
Benefits:
We offer competitive salaries and comprehensive benefits including, medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, paid holidays, onsite cafe, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro and out of state. Learn more about our benefits: https://omrf.org/about-omrf/human-resources/benefits/.
RESPONSIBILITIES
Join our dynamic, well-funded research group in an autoimmune disease center of excellence. We are focused on studying immune mechanisms associated with autoimmunity and translational research questions. Dr. Joel Guthridge and Dr. Judith James are seeking a Post-Doctoral Fellow with a strong immunology and/or bioinformatics/data science background to be part of the team working to apply precision medicine and molecular phenotype classification approaches to clinical and translational autoimmune disease research to improve the lives to patients with autoimmune disease. Large datasets for analysis are already available and growing daily.
The successful candidate will help lead efforts to apply computational and new statistical tools to molecular phenotype pipelines for patient characterization and stratification, assist with data analysis, modeling, visualization and interpretation of clinical and experimental data. We have access to an extensive curated electronic clinical research health record and experimental data warehouse already available to be leveraged for these projects. The team utilizes high throughput bimolecular assays, deep cellular phenotyping, and single cell genomic and proteomic methods through our Human Phenotyping Core. We also have access to high performance computational resources both in-house and through cloud-based resources.
This is a mentored position for postdoctoral training. Incumbents at this level plan, design and conduct analysis plans for research projects; prepare reports and papers for publication, presentation and future research; contribute to grant writing and are encouraged to write applications for fellowships. Successful candidates will learn the complexities of data analytics/research lab management and participate in various lab management responsibilities.
Benchmark Expectations:
- Conduct scientific research/data analysis.
- Manage research projects.
- Contribute to grant writing; prepare reports and papers for publication.
- Present scientific/technical information both formally and informally.
- Work collaboratively and collegially as part of the team while learning to become an independent investigator.
Knowledge, Skills, and Abilities:
Knowledge of the principles and practices of scientific theory and research; demonstrates skill in formulating and testing hypotheses; demonstrates ability to conduct scientific research analysis and summarize data and results; writes technical, scientific papers; writes grants and communicates effectively both orally and in writing; mentor students; provides analytic support and input to other projects in the group and guides/directs the work of less senior.
QUALIFICATIONS
Ph.D. in a biological science, statistics, applied mathematics, epidemiology, chemistry, physics or other relevant area, M.D., or equivalent field and some relevant experience. Must have the ability to perform statistical analysis using appropriate statistical software programs and/or program in R. Must have good organizational and communication skills. Must be able to work independently, as well as highly attentive to detail, and dependable. Works as a team player and perform other duties as assigned by supervisor.
POLICY
OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.
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DESCRIPTION
SFARI cohorts and data collections:
Since its beginning, SFARI (Simons Foundation Autism Research Initiative) has partnered with families and clinical centers across the country to build large and diverse cohorts of well-characterized individuals with autism or with specific genetic alterations associated with neurodevelopmental risk. These include the Simons Simplex Collection (SSC), Simons Searchlight, Autism Inpatient Collection, and SPARK. The principles of community-based participatory research have been key to all cohort activities. The Simons Foundation Informatics group manages the collection and distribution of large-scale aggregate and de-identified clinical and genomic data from these cohorts, which are made available to autism researchers through SFARI Base, a clearinghouse for autism and autism-related research data and biospecimens supported by SFARI.
Bioinformatics Data Manager:
The Bioinformatics group at the Simons Foundation is seeking a dedicated full-time bioinformatics data manager. The ideal candidate has outstanding attention to detail, with experience in data science or bioinformatics, and will be at the forefront of the Foundation's open data initiatives.
This critical position is responsible for overseeing an extensive and ever-expanding collection of genomics (over 170K whole-exomes and genomes) and biomedical data across Simons Foundation autism cohorts and neuroscience collaborations. The data manager will be instrumental in enhancing data accessibility and utility for both internal staff and external investigators, aligning with the principles of open data and science. The data manager will be part of the bioinformatics team and will collaborate with informatics' engineering team, the SFARI science team, and external investigators.
Key responsibilities include meticulous handling and processing of incoming data, such as genomic sequencing or biosensor data, as well as performing detailed quality control checks and downstream bioinformatics analyses. Additionally, the candidate will be responsible for preparing regular data releases and facilitating coordination among different teams, contributing to the Foundation's dynamic and collaborative environment.
ESSENTIAL FUNCTIONS / RESPONSIBILITIES
Data releases:
- Maintain the Bioinformatics quality control pipeline, used to verify consistency with phenotypic data and ensure the integrity of released genomic data
- Execute existing variant calling pipelines, which will be included in data releases
- Package whole-exome and whole-genome data for regular curated and rapid releases
- Manage ad hoc genetic data releases for various SFARI cohorts and datasets
Data organization:
- Coordinate data receipt from external investigators, vendors, and research groups
- Perform incoming data cleaning, including deidentifying sample identifiers, organizing data files, and ensuring consistent metadata
- Manage the organization of raw, cleaned, and released data on our local cluster environment
- Harmonize our large collection of heterogeneous datasets hosted on SFARI Base
Data sharing and support:
- Support data sharing for SFARI investigators and collaborations, such as the Autism Rat Consortium (ARC), and Simons Sex Differences Collaboration (SSDC)
- Respond promptly to dataset questions from external investigators
- Support data access for cloud platforms
MINIMUM QUALIFICATIONS
Education:
- B.S. or M.S. in data science, bioinformatics, or a related discipline.
Required experience:
- At least 4+ years' relevant work experience
- Extensive experience with Linux/bash
- Experience working in an HPC environment
- Experience with Python
- Experience with version control using git / GitHub
- Basic skills in data analysis and statistics
- Strong organizational skills and outstanding attention to detail
- Effective oral and written communicator
- Ability to thrive in collaborative environments
Desired experience:
- Enthusiasm for open science and collaboration
- Experience with genomics data processing and analysis
- Experience writing technical documentation
- Experience with cloud storage solutions (AWS, Google Cloud, Terra)
- Working knowledge of SQL
- Familiarity with data privacy and security regulations in the healthcare or research domain
COMPENSATION & BENEFITS
- The full-time annual compensation range for this position is $130,000 – $145,000, depending on experience.
- In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.
HOW TO APPLY
To apply, visit: https://apptrkr.com/4878759
Required application materials:
- Resume
- Cover letter stating your interest in the position.
- Links to code repositories or GitHub, if available
POLICY
The Simons Foundation's diversity commitment:
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.
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BACKGROUND
About us:
We are a young, international department and our working language is English. We study the fascinating ability of planarians to regenerate complete animals from tissue pieces and conduct worldwide expeditions to study the evolution of regenerative abilities within the taxon. Our scientific approach includes genome sequencing, comparative genomics and various next generation sequencing techniques. Further, we established and maintain PlanMine, the Planarian research community's online resource (https://planmine.mpinat.mpg.de/planmine/begin.do
About the position:
We are looking for a motivated and experienced model organism genome researcher to spearhead and curate the further evolution of the PlanMine web resource. You will be an integral part of the department's bioinformatics subgroup and involved in our ongoing genomics research. You will also interface with the local IT service provider (GWDG) and the university informatics department re technical aspects of PlanMine hosting and development. You will also bridge to the world-wide user community, e.g. by organizing curation efforts, parsing and implementing user suggestions or presenting new database features at international meetings. Thus, you will have the opportunity to remain at the cutting edge of big data management, expand your world-wide contact network or to additionally pursue your own research interests in genome evolution.
RESPONSIBILITIES
Your Responsibilities:
- Overseeing the maintenance and further development of the PlanMine web resource.
- Coordinating and publishing new database releases/features.
- Implementing and overseeing web-based curation efforts.
- Developing and implementing web applications for the exploration of large datasets.
- Databasing and analysis of large biological datasets, primarily, but not exclusively produced from NGS experiments.
REQUIREMENTS
Your Profile:
- You hold a PhD in a Life Sciences or Bioinformatics subject.
- You have extensive hands-on experience with the use, upkeep and management of model organism genome browsers.
- You are familiar with Linux-based server environments and have demonstrated experience in one or more of the following: Java/Javascript, HTML/CSS, MySQL, PostgreSQL and server administration.
- As a person, you are a team player, you have excellent communication skills, you are fluent in English and a biologist at heart.
- You are self-motivated and able to multitask/prioritize different projects.
Additional experience in one or more of the following will be considered a plus:
- Community-based workshops/hackathlons.
- Biological dataset visualization on the web (e.g. intermine, bluegenes, wormbase, biomart, R Shiny).
- RNA-Seq data analysis of bulk or single cell data (e. g. clustering, differential gene expression, gene set enrichment, trajectory analysis).
- Genome/transcriptome assembly; novel gene or protein annotation, orthology assignment.
- Advanced statistics & machine learning techniques.
- Supervision of students or other team members
TERMS
We offer:
- Inspiring, world-class research environment.
- Opportunities to participate in the department's world-wide field expeditions.
- Moving assistance for the ones joining us from abroad and help with getting settled in Göttingen.
- Professional training, networking and career-development opportunities; free language courses.
- On-site health management: free fitness and yoga room, sports groups, beach volleyball league, and courses for a "moving lunch break".
- A wide range of opportunities to balance work and family life, including an on-campus kindergarten and vacation care.
- Initiatives for sustainability and a green environment with an on-site biotope.
- Close proximity to the historic town center of Göttingen with rich cultural opportunities and a vibrant student scene.
- Green and peaceful surroundings that are great for running, hiking, cycling and other outdoor activities.
HOW TO APPLY
Please submit your application including a cover letter, CV, transcripts and publication record (if applicable), and the contact addresses of three referees as a single document, preferably as a PDF file. Please make sure that the cover letter clearly states your motivation for why you want to join the department and your relevant experience that qualifies you for this position. Review of applications will begin immediately. Please submit your application to ausschreibung58-23[at]mpinat.mpg.de
Max Planck Institute for Multidisciplinary Sciences
Department "Tissue Dynamics and Regeneration"
Dr. Jochen Rink
Am Fassberg 11
37077 Göttingen
Germany
Web: https://www.mpinat.mpg.de/rink
For informal e-mail enquiries, please write to jochen.rink[at]mpinat.mpg.de.
Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.
POLICY
Recruitment:
The position should be filled as soon as possible; the exact start date is flexible. The payment and benefits are based on the TVöD (wage agreement for public service personnel) guidelines. Positions are initially limited to two years with a possibility of extension.
The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds.
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BACKGROUND
The School of Biological Sciences at UCSD is a vibrant center of scientific discovery, innovation, and collaboration. Our large research base spans many areas of biology and has one of the most celebrated graduate programs in the country. We are committed to academic excellence, and to enhancing access, inclusion and success of our diverse faculty, staff and students (http://diversity.ucsd.edu; https://biology.ucsd.edu/diversity/).
RESPONSIBILITIES
The School of Biological Sciences (https://biology.ucsd.edu), Department of Molecular Biology, invites applications for two faculty positions in Molecular Biology at the tenure-track Assistant Professor level. Candidates pursuing innovative research in the general area of Computational Molecular Biology are encouraged to apply; applicants with fully dry / computational labs are strongly preferred. We are particularly interested in candidates that foster equity and inclusion. Potential areas of interest include, but are not limited to, studies focused on development of novel computational methods in biophysics, structural biology, genomics, genetics, and bioinformatics with applications ranging from image analysis for cryo-EM, cryo-ET, and advanced light microscopy to AI/ML-based modeling of protein structure-function- evolution as well as dynamic intracellular processes.
REQUIREMENTS
All candidates must have earned a Ph.D. or equivalent degree, and be committed to teaching at the undergraduate and graduate levels. In addition to excellence and creativity in research and scholarship, successful candidates must also demonstrate a commitment to equity and inclusion in higher education. We are especially interested in candidates who have created or contributed to programs that aim to increase access and success of underrepresented students or faculty in the sciences, or have detailed plans to accomplish such goals.
COMPENSATION
A reasonable salary range estimate for this position is $118,900 - $141,000 as determined by rank and/or step at appointment. The posted UC Academic salary scales set the minimum pay as determined by rank and/or step at appointment. See the following table(s) for the salary scale(s) for this position https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t1.pdf
The base salary range, from the salary table(s), for this position is $74,600 - $97,200. "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: https://aps.ucsd.edu/compensation/apo-salary.html
POLICY
UCSD is an Affirmative Action/Equal Opportunity Employer with a strong institutional commitment to excellence through diversity (http://diversity.ucsd.edu). All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age, or protected veteran status.
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Department of Chemical and Biochemical Engineering (DTU Chemical Engineering) invites applications for few positions as Post Doctoral Fellow to be hired for a European Research Council (ERC) funded project with focus on anaerobic microbiome for biotechnological applications aiming at valorization of biowastes.
Your background is on anaerobic microbiology, microbial ecology, microbial interactions, syntrophies, genome scale modelling, bioengineering, and fermentation.
The positions are:
- Postdoc, with a background in microbial ecology – Focusing on microbial interactions of anaerobic microcosms.
- Postdoc, with a background on microbial ecology – Focusing on genome mapping based on genomic information and genome scale modelling of the anaerobic microbiome.
- Postdoc, ideally with a background on microbiology and microfluidics – Focusing on microbial isolations and design of tailored mixed cultures.
RESPONSIBILITIES
The successful candidates will join an innovative, collaborative, international and multidisciplinary team. The group works on both fundamental understanding but also development and validation of new technologies based on the use of microorganisms as tools to valorise organic wastes and wastewaters into useful bioproducts, biofuels and bioenergy. One of our important values is cooperation, and we believe that we can reach world-class results together.
You will be involved to strengthen the Bioconversions group competences within microbiome studies using modern technologies such as metagenomics, metatranscriptomics, and anaerobic mixed cultures design and construction. You will work with nearby colleagues, and with both academic and industrial partners in Denmark as well as abroad.
The candidate is expected to:
- Design and perform experimental work.
- Be involved in the co-supervision of PhD, MSc and BSc students.
- Present research findings in scientific papers, conferences, public domain and other outreach activities.
- Actively contribute to fundraising activities in the department.
REQUIREMENTS
The candidate should have the following qualifications:
- A PhD degree in areas such as Microbiology/Anaerobic microbiology/ Life sciences, Biochemistry, or other relevant to this position.
- Proven ability to work in the following areas: use bioinformatics tools, traditional and modern anaerobic microbiology, molecular biology.
- Competences within fermentation processes hereunder gas/liquid fermentations.
- Previous experience in execution of research projects.
- Experience with the supervision and guidance of MSc and BSc students.
- Strong writing and communication skills.
- Publish high impact articles.
- Able to work both independently and in a team.
- Collaborative international experience.
COMPENSATION
We offer:
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment:
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years.
You can read more about career paths at DTU here: https://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
Further information:
Further information may be obtained from Dimitar Karakashev at dbka[at]kt.dtu.dk.
You can read more about DTU Chemical Engineering at http://www.kt.dtu.dk/english.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at: DTU – Moving to Denmark: https://www.dtu.dk/english/about/job-and-career/moving-to-denmark
HOW TO APPLY
Your complete online application must be submitted no later than 20 January 2024 (23:59 Danish time).
Apply online here: Postdocs in Anaerobic Microbial Consortia: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/2800/?utm_medium=jobshare
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
Applications received after the deadline will not be considered.
ABOUT US
Technology for people:
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
POLICY
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
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