78 computer-science-intern "https:" "https:" "https:" "https:" "P" Fellowship positions at Nature Careers
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on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international effort to answer the call for the development of new
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systems, behavioural, and computational neuroscientists, supporting career development, mentorship, and opportunities to present research at international conferences. About You PhD in Neuroscience or a
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including
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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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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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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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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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basic science with biotech applications and combines rich functional assays with cutting-edge computational biology. Our method relies on aptamer-based sensors to recognise each specific metabolite target
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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