439 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" Fellowship positions in United States
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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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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
Medical School. We are seeking candidates who will have completed a minimum of two post-graduate training years in an ACGME-accredited general surgery residency program by June 30, 2026.This includes recent
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journals, A&A, MNRAS, or similar); commit to writing or contributing to the quarterly general public education articles that explain the project deliverables in layman terms; be proficient in computational
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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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Preferred Experience, Skills, Training/Education: 1. Ph.D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields. 2. The candidate is expected to have a strong
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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
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project that will illuminate aspects of historic and/or current antisemitism. The recipient will be affiliated with the Center for Jewish Studies, the Julis-Rabinowitz Program on Jewish and Israeli Law at
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Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, with a strong research background in AI, reinforcement learning, and multi-agent systems. Demonstrated
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize