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    Opportunity: Post Doctoral Fellow in Bioinformatics (Bozdag Lab) @ University of North Texas -- Denton, TX (US)
    Submitted by Serdar Bozdag; posted on Friday, September 04, 2020


    The Bozdag Lab in the Department of Computer Science Engineering at the University of North Texas, a Tier 1 Research Institution (Carnegie Classification as a Doctoral University: Highest Research Activity) has an opening for a postdoctoral fellow to work on research in bioinformatics. Our lab is dedicated to developing integrative computational tools that leverage multi-omics biological and clinical datasets to infer disease-associated genes, regulatory interactions and patient-specific drug response. The successful candidate will join a multidisciplinary team to work on cutting-edge research projects to apply data mining/machine learning approaches on high dimensional biological and clinical datasets.

    Department Summary:
    The Department of Computer Science Engineering provides high quality educational programs by maintaining a balance between theoretical and experimental aspects of computer science, as well as a balance between software and hardware issues by providing curricula that serves our communities locally and globally.

    The department offers a Bachelor of Art degree in Information Technology, Bachelor of Science and Master of Science degree in Computer Engineering, Bachelor of Science and Master of Science degree in Computer Science, Bachelor of Science and Master of Science degree in Cybersecurity, and a doctoral degree in Computer Science and Engineering. A Professional Master of Science degree in Computer Science is also offered.

    UNT System Overview:
    Welcome to the University of North Texas System, or UNT World as we like to call ourselves. UNT World includes the University of North Texas in Denton, the University of North Texas at Dallas and the University of North Texas Health Science Center in Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region and we are committed to transforming lives and creating economic opportunity through education. Over the past decade, combined UNTS enrollment has grown by more than 25 percent to nearly 44,000 students.


    • Conduct all aspects of research projects under the mentorship of the Principal Investigator (e.g., data collection, preprocessing, analysis, software development, testing, evaluation, benchmarking, etc.).
    • Write manuscripts for publication.
    • Contribute to the drafting of grant proposals.
    • Present research progress at lab meetings and the individual meetings with the PI.
    • Attend conference for oral and poster presentations of research projects.
    • Contribute to mentoring and training of graduate and undergraduate students in the lab.


    • Ph.D. in Computer Science, Bioinformatics, Biostatistics, or related field with a strong research background in machine learning, statistics, genomics, or a closely related field


    • Strong first-author publication track-record in bioinformatics
    • Experience analyzing high dimensional biological datasets, particularly next-generation sequencing data
    • Demonstrated experience with the application of supervised and unsupervised machine learning methods to biological datasets
    • Proficiency in software development skills, including programming skills in R and/or Python, expertise with documentation, version control, and code releases
    • Expertise in Linux and high-performance computing environments
    • Strong communication and scientific writing skills
    • Ability to learn quickly and apply new analytic techniques


    The initial appointment is one year with the possibility of renewal based on performance.


    UNT is strategically located in Denton, Texas, a vibrant city with a lively arts and music culture.


    Apply at Provide a CV, a cover letter highlighting research interests and expertise, and the names and contact information for three references.


    Review of Applications will begin immediately and continue until the position is filled.

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