341 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Harvard University
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Description The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI/ML engineering. The
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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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Mathematics / Computer Science Position Description Professors Le Xie and Na Li in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seek a motivated postdoctoral
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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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. 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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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
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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of the Center, expanding the Center’s national impact, securing funding for its operation, and leading a staff of approximately 20 full-time employees working across the domains of research, communications
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sophistication, including strong statistical skills and comfort with large-scale or complex data. Experience with computational text analysis, such as NLP methods, historical text processing, topic modeling