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Field
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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with strong theoretical and practical expertise in peptide chemistry is sought to address ambitious research challenges at the interface of chemical biology, biochemistry, and molecular biology. Access
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with strong theoretical and practical expertise in peptide chemistry is sought to address ambitious research challenges at the interface of chemical biology, biochemistry, and molecular biology. Access
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SPECIFICS Postdoctoral Scholar (Physics / Statistical Mechanics in Molecular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State
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environment. The candidate will have the opportunity to conduct experiments at a multiuser facility, perform data analysis, and conduct molecular dynamic simulation of magnetized dusty plasma. Responsibilities
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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excited states. Further, we use and develop classical and quantum dynamical methods to explain molecular photochemical process, also in complex environments. Your personal sphere of play: A university
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Job Duty Conduct molecular simulation studies of soft materials. Analyze structure, dynamics, and transport properties using computational tools. Maintain reproducible workflows and manage data on local
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Job Duty Conduct molecular simulation studies of soft materials. Analyze structure, dynamics, and transport properties using computational tools. Maintain reproducible workflows and manage data on local
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 17 hours ago
will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning