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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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environments and tools. Prior experience applying AI to seismology or related Earth science domains. Special Instructions Contact Information Corinne Engber 20 Oxford St. Cambridge, MA 02138 Contact Email
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/ML to important questions in neuroscience and biological intelligence, while continuing to grow as scholars within a collaborative academic environment. Candidates should be within 2 years of receiving
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a
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/administrative datasets ● Environmental, climate, or air pollution exposure data ● Causal inference methods Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and
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modern AI to important problems in protein biology, cellular systems, and biological intelligence, while continuing to grow as scholars within a collaborative academic environment. Candidates should be
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pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two
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brain aging and neurodegenerative diseases. We specialize in decoding glycans—complex carbohydrates that decorate our cells and permeate our brain’s extracellular environment. Despite their fundamental
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data, and to discover new microbial metabolites. With potential applications in human health, agriculture, and the environment, we also elucidate the biological consequences of microbial metabolism in
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—are intended to foster the early career development of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into