40 distributed-computing-associate-professor Postdoctoral positions at Harvard University
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. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social
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: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral
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Postdoctoral Association and HMS Black Postdoctoral Association. Provide career coaching and professional development assistance to the HMS/HSDM postdoc community Advise and mentor postdocs on career options and
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aqueous and nonaqueous electrolytes. The scholar will join the research group of Professor Michael J. Aziz in the School of Engineering and Applied Sciences and will collaborate with organic chemists from
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
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, research associate, research scientist, or assistant professor level at any Harvard University School or one of its affiliated institutions. Deadline Month: April and November Description: The Harvard
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lab is seeking a highly motivated postdoctoral fellow to join the research program to explore radical-based mechanistic enzymology, studying PCET within ribonucleotide reductase (RNR). This position is
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-time Postdoctoral Research Fellow to join the causal inference team supervised by Professor Francesca Dominici. The position will focus on developing and applying novel causal inference methods for large
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additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu . Basic Qualifications Doctoral degree. Applicants background may include studies in: Computational
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, tool use, retrieval systems, or related AI systems Experience with large-scale datasets, distributed training, or high-performance computing environments Interest in scientific applications of AI/ML