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    Latest announcements


    Do you want to fight malaria from your computer? Are you a motivated bioinformatician and want to work with the latest sequencing technologies and single cell sequencing?

    The Wellcome Trust Sanger Institute is taking on some of the most difficult challenges in genomic research, to push the boundaries of our understanding of life in ever new and exciting ways. We have an exciting opportunity for you to work within a team of bioinformaticians and biologists to use state-of-the-art genomic and transcriptomic datasets to understand the biology and evolution of malaria parasites.

    In the Parasite Genomics group we produce and analyse DNA sequence data to gain insights into parasite biology and to generate resources of lasting value to the Research community. We use the latest sequence technologies, like Oxford Nanopore, 10X to push the limits of single-cell analysis for parasite genomes.

    We seek to recruit a senior bioinformatician in to our malaria genomics team, to work with DNA and RNA sequencing data. The position would be ideal for an individual to gain valuable experience in using third generation sequencing data, as well as cutting edge single-cell approaches.


    • Analyse and evaluate 3rd generation sequencing data with existing tools, and with new tools generated in house.
    • Analyse single-cell datasets
    • Generate programs and pipelines to generate hundreds of high quality malaria-parasite genomes


    • The position will involve both data analysis and programming.
    • Good knowledge of programming, demonstrated by a Masters or PhD degree in Computer Science or Bioinformatics, or PhD in another discipline (such as physics, maths or biology) with a large component of computational work
    • Must have experience in Java, Perl or Python programming and driving projects to completion


    Experience with genome and next generation sequencing analysis or a background in malaria biology.


    Fixed Term Contract for 3 years


    Salary Range: £31,498 to £39,729 plus excellent benefits


    Click on the following link:[...]21621


    Closing date for applications: 21st August 2017, however applications will be considered and reviewed on an on-going basis.


    March 22-23, 2018
    Florence, Italy


    The objective of the New Perspectives in Science Education Conference is to promote transnational cooperation and share good practice in the field of innovation for science education. The New Perspectives in Science Education Conference is also an excellent opportunity for the presentation of previous and current projects in the science field.


    The Call for Papers, within the New Perspective in Science Education Conference, is addressed to teachers, researchers and experts in the field of science education as well as to coordinators of science and training projects.

    Experts in the field of science teaching and learning are therefore invited to submit an abstract of a paper to be presented during the New Perspective in Science Education international conference. The abstract should be written in English and submitted no later than 22 November 2017. In order to submit an abstract please visit our website:[...]n.php.

    There will be three presentation modalities: oral, poster and virtual presentations.

    All accepted papers will be included in the Conference Proceedings published by LibreriaUniversitaria with ISBN and ISSN codes. This publication will be sent to be reviewed for inclusion in SCOPUS ( Papers will also be included in ACADEMIA.EDU ( and Google Scholar.


    Deadline for submitting abstracts: November 22, 2017
    Notification of Acceptance / Rejection for Abstracts: December 13, 2017
    Deadline for final submission of papers: January 22, 2018
    Dates of the conference: March 22-23, 2018


    For further information, please contact us at the following address: science[at] or visit the New Perspectives in Science Education conference website linked above.


    We are recruiting a computational postdoc who wants to pursue groundbreaking research on digital medicine, combining a strong background in machine learning with cutting-edge technologies such as single-cell sequencing, wearable devices, ubiquitous sensors, and augmented reality, and a keen interest in biomedical applications.

    Our group is based at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, on the campus of one of the world's largest hospitals and medical schools. We combine a strong background in computational methods with the expertise, collaborations, and funding to pioneer the use of advanced digital technology in biotechnology and personalized medicine.

    The successful candidate will develop and apply advanced machine learning technology (e.g., deep neural networks, kernel methods, non-linear regression, and/or causal modeling) in order to discover fundamental mechanisms of biology and medicine and to advance personalized medicine. Potential applications may include (but are not limited to) single-cell sequencing of cancer, 3D reconstruction of tumors and epigenetic landscapes, mobile health technology for patients with brain cancer, and pattern discovery in heterogeneous biomedical datasets. Our location on one of the largest medical campuses in Europe ensures direct relevance to medicine, while our close collaboration with the Max Planck Institute for Informatics (Germany) provides first-hand access to a cutting-edge computer science environment.


    We are looking for highly motivated and academically outstanding candidates who want to pursue a career in machine learning research and its applications in biology and medicine. Candidate should have a strong background in the quantitative sciences (computer science, bioinformatics, statistics, mathematics physics, engineering, etc.). We will also consider applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing computational projects with a major machine learning component.


    Vienna, Austria


    Please apply online ( with cover letter, CV, academic transcripts, and contact details of three referees. Applications will be reviewed on a rolling basis.


    Any application received by 31 August 2017 will be considered. Start dates are very flexible.



    IBM is busy applying its Watson AI to as many health arenas as possible and it looks like cancer genomic sequencing could be its next big market.

    In a new proof-of-concept study testing a beta version of its genomic sequencing-specific version of Watson, Watson for Genomics, IBM's AI has once again shown potential.

    Full article:[...].full



    The malaria parasite's success is owed to the stripping down of its genome to the bare essential genes, scientists at the Wellcome Trust Sanger Institute and their collaborators have found. In the first ever large-scale study of malaria gene function, scientists analysed more than half of the genes in the parasite's genome and found that two thirds of these genes were essential for survival – the largest proportion of essential genes found in any organism studied to date.

    Full article:[...]714-6


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