417 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "St" "St" "St" "St" positions at Harvard University
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and contact information for three people who have agreed to serve as your reference Contact Information 10 Shattuck St. Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range https
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Details Title HMS - Associate in Biomedical Informatics (Zitnik Lab) School Harvard Medical School Department/Area Research Position Description The Associate will engage in academic research and
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https://daviscenter.fas.harvard.edu/ To learn more about the Program on Central Asia visit us at: https://daviscenter.fas.harvard.edu/research-initiatives/program-central-asia #LI-CK1 Work Format Details
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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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Details Title HMS - Associate in Biomedical Informatics (Farhat lab) School Harvard Medical School Department/Area Research Position Description The Farhat lab in the Department of Biomedical
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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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computer science or closely related field. Additional Qualifications Special Instructions Contact Information Heather Viana 10 Shattuck St Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range
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Please see the fellowship page for more information: https://www.huri.harvard.edu/mihaychuk-postdoc-fellowships Additional Qualifications Special Instructions Contact Information Megan K. Duncan Smith
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber