587 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at Harvard University in United States
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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program activities and may include training and supervising of teaching assistants or teaching fellows. The position is for three years, with the second two years contingent on a satisfactory performance
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Details Title 2026-27 College Fellows (in multiple areas) School Faculty of Arts and Sciences Department/Area College Fellows Program Position Description Please visit https
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society. IIHP administers two academic programs: the Harvard PhD Program in Health Policy and the Harvard College Secondary Field in Global Health and Health Policy. The PhD program draws on faculty from
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an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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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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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods