83 computer-science-intern "https:" "https:" "https:" "https:" "Trinity College, Dublin" Fellowship research jobs at Nature Careers
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international research partners in Africa and Asia. We leverage our state-of-the-art core facilities (flow cytometry, microscopy, proteomics and structural biology) to address important problems and find
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/social sciences ≤40. Hundred Talents Program B: At least 3 years of study or work experience at renowned institutions abroad or in China; notable research achievements with good potential; age limits
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Dana-Farber Cancer Institute, the Broad Institute, and more Mentor and guide junior staff and students Qualifications Ph.D. in bioinformatics, computational biology, statistics, data science, machine
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you get the best start to your academic career at one of Australia’s leading universities! The Wainwright laboratory focuses on using genomic, genetic and cell biology approaches to understand
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The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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science into benefits for human health and the economy. About the role Our lab aims to understand how functional organs are built during embryonic development, an important problem in biology with
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nervous system (CNS) tumors. We are seeking an exceptional candidate to join our Molecular and Cell Biology (MCB) Program. This position focuses on investigating DNA repair pathways in brain tumors, with
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of Population Sciences, seeks a highly motivated postdoctoral fellow in the McGraw/Patterson Center for Population Sciences. The Center is committed to population-based research aimed at detecting cancer early
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning