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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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sorghum, using new whole genome CRISPR screening techniques that the lab has developed. The project is in close collaboration with computational approaches that model the genes and circuits that make cells
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teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The De Pablo Research Group focuses on the physics and thermodynamics of complex
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cognitive constraints. Today, we’re building AI systems that navigate the same landscape of pluralistic and often competing human values and incentives, but with new constraints and lack of constraints. Our
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Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference
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-time Postdoctoral Researcher to join our team in building next-generation Foundation Models for Earth System Modeling at NYU Courant Institute School of Mathematics, Computing, and Data Science. In
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of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the
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and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Hubbell Research Group focuses on developing cutting-edge biomaterials and
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responsible for designing, building, and utilizing single-walled carbon nanotube field effect transistor (SWNT FET) sensors to probe biological phenomena at the single-molecule level. See Turvey et al. (2022