338 computer-science-intern "https:" "https:" "https:" "https:" "University of Cambridge" research jobs at Harvard University
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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/human-organs-on-chips/ What you’ll do: Independently
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computational bio/neuroscience principles with modern machine learning techniques. Basic Qualifications Ph.D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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Details Title Postdoctoral Fellow in Organismic and Evolutionary Biology School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description We seek a
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fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Experience with nonhuman primates, systems neuroscience, electrophysiology, or computational
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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the research program. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as systems neuroscience, visual neuroscience, neurophysiology, computational neuroscience, biomedical engineering, psychology, physics
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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Details Title Postdoctoral Fellow in Thymic Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Bioengineering Position Description The Mooney Lab
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Apr-26 Location: Boston, Massachusetts Categories: Staff/Administrative Internal Number: 49222949-ad70-4873-a19e