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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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interdisciplinary team with strengths in physics, chemistry, and molecular biology. The existing team has successfully developed a cryogenic atomic force microscope that can characterize biological cell sections, and
Searches related to molecular simulation
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