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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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in relation to our lab’s focus. We will review submissions on a rolling basis and keep the position open until it is filled. Contact Information For more information, please contact Dr Wahab, 60 Oxford
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on foundational machine learning and neuroscience-informed scientific applications. The position is particularly well-suited to candidates eager to apply their technical expertise in foundation models and modern AI
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computational biology or biological data analysis. Strong candidates may come from protein-focused, cell-state-focused, or multimodal biological modeling backgrounds and will have expertise in one or more of the
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Details Title Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard
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Details Title Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers School Harvard T.H. Chan School of Public Health Department/Area Biostatistics
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. ● Contribute to open-source code and reproducible pipelines. Basic Qualifications ● PhD (completed or near completion) in Statistics, Biostatistics, Data Science, Computer Science or a closely related field
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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17