179 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" Fellowship research jobs at Harvard University
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
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of high quality, original, independent research. They will be chosen by the Program Board of the American School of Prehistoric Research. Prior to applying, candidates are encouraged to communicate
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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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approaches may include—but are not limited to—causal inference, spatial analysis, computational text analysis, and archival or ethnographic research. Postdoctoral candidates with relevant research interests
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like to work during the fellowship year. Please do not contact faculty directly at this stage. All application materials must be in English. Contact Information Harriet Wong Program Administrator
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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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. 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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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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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