609 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Harvard University
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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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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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(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 (the Harvard Kenneth C
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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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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
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. Oversee internal and external audit coordination and leadership. Produce sponsored program activity reports and expenditure projections for HKS senior leadership and others. Serve as an expert resource
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and