31 deep-learning-phd-"https:" "Computer Vision Center" Postdoctoral positions at Harvard University
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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strategies. Duties and Responsibilities Design, implement, and evaluate deep learning models for spatiotemporal data, with an emphasis on medium-scale foundation models. Leverage model embeddings in causal
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, and accomplishments in the field for candidates with recent PhD (within 1 year of application). Applications and supporting materials should arrive by 23 January 2026, for full consideration. However
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and
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by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW
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of scholarship, and accomplishments in the field Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted to excellence in teaching, learning, and research, and to developing
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behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate students and post-baccalaureate fellows; prepare and submit peer-reviewed journal articles; and present their work
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a unique opportunity to shape an emerging field at the intersection of AI and religion. Basic Qualifications Applicants should demonstrate the following qualifications: PhD in Religious Studies