465 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United States
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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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, 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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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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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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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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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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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral