232 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" research jobs at Harvard University
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education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/21930943/research-assistant-i Return to Search Results
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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. degree by the appointment start date. Additional Qualifications Special Instructions Contact Information Melissa Franklin Harvard Physics Department 17 Oxford St Cambridge MA 02138 Contact Email
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to appoint one or more postdoctoral fellows beginning in November/December 2025. We are looking for candidates with interests in the use of atomic cavities and atomic arrays for quantum computing. Candidates
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: January 9, 2026 For more information, see http://warrencenter.fas.harvard.edu/. Basic Qualifications Applicants may not be degree candidates and should have a Ph.D. or equivalent. Fellows have library
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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Information Stephanie Vincent Pierce Hall, Room 222 29 Oxford St. Cambridge, MA 02138 Contact Email svincent@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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for Climate and Sustainability at Harvard University. The position is part of a program at the Institute on Expediting the EV Transition. The position includes a competitive salary and Harvard University
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American Association for Cancer Research: Postdoctoral Fellowships Eligibility: varies by program Deadline Month: varies by program Description: These fellowships provide research training and
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications