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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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/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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large-scale inference. Familiarity with modern AI environments and tools. Prior experience applying AI to seismology or related Earth science domains. Contact Information: Corinne Engber 20 Oxford St
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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
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, and creative academic research environment alongside graduate student trainees; and who want to help shape the research trajectory of a newly established lab in an exciting and growing field. Our work
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More broadly, bacteria constantly face a life-and-death struggle against lethal stresses in their microscopic world. We study how microbes adapt to their ever-changing environment, using simple and