966 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs in United States
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, 2026. Contact Information Sandy Cantave Vil cantave@fas.harvard.edu Program Coordinator Center for Jewish Studies at Harvard University 6 Divinity Ave, Suite 210 Cambridge, MA 02138 (617) 495-4326
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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
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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 postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects...
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(D^3) Institute and the LISH/Data Science & AI Operations Lab seek enthusiastic Postdoctoral Fellows skilled in computer science, statistics, operations research, or related computational fields. As
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for Climate and Sustainability at Harvard University. The position is part of a program at the Institute on Expediting the EV Transition. The position includes a competitive salary and Harvard University
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application by January 15, 2026. All application materials must be in English. Applicants are required to submit: • CV • Cover letter (1-2 pages) that briefly states your interest in the program, your academic
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. The recommendation deadline is January 23, 2026. Contact Information Sandy Cantave Vil cantave@fas.harvard.edu Program Coordinator Center for Jewish Studies at Harvard University 6 Divinity Ave, Suite 210 Cambridge
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will be contingent upon demonstrated research productivity and availability of funds up to a period of four years. Required Department Minimum Qualifications: Ph.D. in computer science, geospatial
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topics. Can redirect communication or correspondence to appropriate team or unit. Little or no responsibility in the area of budgets or departmental resources. Work requires the ability to plan and perform
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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