435 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Harvard University in United States
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Description The Davis Center for Russian and Eurasian Studies’ Visiting Scholar Program offers comprehensive research, training and professional development opportunities for both junior and senior scholars
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candidates pursuing experimental research in materials science and engineering, but will also consider strong candidates using theoretical and computational approaches. Relevant backgrounds include materials
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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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, 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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the possibility of renewal based on funding and performance. Relocation funding not provided. This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our
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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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that contribute to cardiac aging and heart failure, Arrestin proteins and metabolism, and DNA adducts in aging. 2. Publish and present research findings in high-quality scientific journals and conferences. 3
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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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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