28 distributed-computing-associate-professor Postdoctoral positions at Harvard University in postdoctoral
-
Details Title Postdoctoral Research Positions in the Institute for Theory and Computation (ITC) School Faculty of Arts and Sciences Department/Area Harvard College Observatory/Center
-
recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience with foundation model training, post-training, adaptation, or evaluation
-
Burroughs Wellcome Fund: Postdoctoral Enrichment Program Eligibility: Limited to citizens of Canada and the US; candidate must have no more than 48 months of postdoctoral research experience (in a
-
Details Title Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard University Position
-
Harvard Brain Science Initiative: HBI Postdoctoral Pioneers Program Eligibility: Mid-to late-stage postdoctoral researchers conducting basic neuroscience research in areas outside of their lab’s
-
Position in Computational Physics at Harvard University The group of Professor Efthimios Kaxiras (Physics/SEAS) expects to appoint one postdoctoral fellow beginning in February 2026. We are looking
-
Applications are invited for a Prize Postdoctoral Research Fellow position with Professor Avi Loeb at Harvard University, head of The Galileo Project and the UAP Science Advisory Council. The successful
-
Positions in Condensed Matter Theory at Harvard University The Quantum Condensed Matter Theory groups, led by Professors Eslam Khalaf, Mikhail Lukin, Subir Sachdev, Ashvin Vishwanath, Norman Yao, Susanne
-
the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
-
(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