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selection cycle and operating the year-round program; set goals and expectations, provide regular feedback, and support staff development in a collaborative, inclusive, and high-performing team culture
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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and treat those conditions that afflict them. The Study strives to meet its aims by collecting data directly from players and by supporting innovative research. The research program sits within Harvard
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recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience with foundation model training, post-training, adaptation, or evaluation
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opportunity to contribute to a high-impact, large-scale project investigating the evolution of cephalopods and their fascinating venom systems! As a Postdoctoral Fellow, you’ll be at the forefront of a cutting
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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
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AI/ML and a strong record of research accomplishment who are excited to develop new AI approaches for high-impact problems in cellular and protein computational biology. This role focuses on applying
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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C