73 computer-science-intern "https:" "https:" "https:" "https:" "P" 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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: 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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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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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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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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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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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
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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