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l'ENS, within a research environment specialized in soft matter, statistical physics, and fluid dynamics. The project will rely primarily on large-scale molecular dynamics simulations and theoretical
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of cryo-electron tomography (cryoET), molecular dynamics simulation, and machine learning. The project aims to develop AI methods for mesoscale structural biology, understanding how cellular macromolecules
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labs across HHMI. This role is part of the AI+CryoET project within AI@HHMI, a multi-institutional project at the intersection of cryo-electron tomography (cryoET), molecular dynamics simulation, and
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(experience with molecular dynamics, DFT, or machine learning) or a robust experimental background (crystallization, X-ray diffraction, spectroscopy). You are driven by the challenge of solving complex "real
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to reduce the cost of clean hydrogen to $1/kg by 2031. The project proposes to address key scientific challenges by using molecular simulations (reactive force fields like ReaxFF and machine learning
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Sehgal at the University of Pennsylvania, focuses on the genetic and molecular mechanisms underlying sleep and circadian rhythms. The lab uses a combination of model organisms, including Drosophila and
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numerical work. Skills in molecular dynamics simulation are welcome, and in English is required. Additional Information Work Location(s) Number of offers available1Company/InstituteINSA de Lyon, Laboratoire
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and other complex fluids using molecular simulations. In order to make these simulations more computationally feasible, development of coarse-grained models and new Monte Carlo or molecular dynamics
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endanger the performance and lifetime of these reactors. We will develop a predictive multi-scale modeling framework to understand and mitigate this damage. At the atomic scale, molecular dynamics
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involve a combination of numerical simulations and theoretical modeling, with the broader aim of bridging the gap between microscopic particle interactions and emergent large-scale dynamics