621 programming-"https:"-"https:"-"https:"-"https:"-"CSIC" positions at Harvard University
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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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-up with resources; and shares pertinent information within the team. Oversees the scheduling and delivery of a comprehensive series of general and targeted programs, workshops, and networking events
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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description HGSE’s Monroe C
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coaching and advising Delivers a comprehensive series of customized programs, workshops, and networking events to increase the career readiness skills of Harvard Chan students, offered in person or online
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of scholars and programming in Byzantine Studies and may devote 20% of the fellowship appointment to personal research. Major Responsibilities Work with representatives of the Numismatic Collection
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Creator Program. Applications are welcome from recent Ph.D.s and Ph.D. students who expect to earn their Ph.D. by the start date. The position will start on or about September 1, 2026. Position summary
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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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leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description Job Summary: At
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, responsible self-direction, and excellence in all aspects of execution. As a leader in HKS and a member of the research and library services team, execute library services and programs with excellence, bringing
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch