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focus on the molecular mechanisms governing liquid–solid interfacial dynamics. Using molecular dynamics simulations combined with theoretical modeling, the project will investigate how confinement
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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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, tomographic reconstruction, or related inverse problems in imaging. Familiarity with molecular dynamics simulations (e.g., OpenMM, LAMMPS) and/or synthetic data generation for training ML models. Experience
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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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meetings to present and discuss the research outcomes. The HYDROUS project aims to advance green hydrogen production through electrocatalysis by developing novel molecular models to elucidate the fundamental
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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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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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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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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
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motivated and highly ambitious scientist with the following qualifications: PhD in molecular biology and/or stem cell biology and hematopoiesis. Expertise in molecular biology techniques, mouse models