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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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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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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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Qualifications: Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics
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Details Title Postdoctoral Fellow in Artificial Intelligence for Society School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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. in areas such as systems biology, stem cell/developmental biology, biophysics, computational genomics, microfluidics, or related fields. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: Cambridge, Massachusetts Categories: Academic/Faculty Computer/Information Sciences Internal
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Harvard Office of Technology Development (OTD): Business Development Fellowship Deadline Month: January Description: This year-long program provides current Harvard graduate students and
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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for undergraduate and graduate students. Qualifications: 1. A Ph.D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding