258 computer-science-intern "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions at Harvard University
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, epilepsy, and other neurological disorders. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective
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Qualifications A Ph.D. or equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains. PLEASE NOTE
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policy, economics, statistics, or a related quantitative field Additional Qualifications Strong skills in Stata, R and/or Python and experience analyzing complex data Demonstrated experience working with
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. in areas such as health services research, economics, statistics, biostatistics, or a related quantitative field Additional Qualifications Exceptional programming and analytical skills (including R
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Department of Molecular and Cellular Biology, Harvard University https://projects.iq.harvard.edu/bellonolab Explore molecular mechanisms underlying unique adaptations and behaviors. Fellows have freedom to ask
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/erapid-multiplexed-electrochemical-sensors-for-fast
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, blindness, diabetes, and muscle degeneration. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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, genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell
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opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science