164 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:"-"https:" positions at Harvard University in United States
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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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, 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 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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-year postdoc are also welcome to apply. Basic Qualifications Ph.D. in Statistics, Mathematics, Computer Science or a directly related field Additional Qualifications The successful applicant will be
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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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Life Sciences Research Foundation: Postdoctoral Fellowships Eligibility: Non-U.S. citizens must work in a U.S. laboratory. Individuals who have held a PhD or MD degree for more than 5 years at the time of application are not eligible. Applicants must complete postdoctoral training in a lab...
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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
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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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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications