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programming/scripting (Bash,Python) Preferred Qualifications The candidate should have demonstrated experience in molecular modelling, particularly in the areas of biophysics or material design (all atom
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
. Description: Icy surfaces and cold volatile environments are ubiquitous across astronomical and planetary landscapes. Dense star-forming regions, protoplanetary disks, and cold molecular clouds serve as
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, scientific, and regulatory steps required to translate in vitro molecular hits into small animal preclinical evaluation models. Processing and integrating complex transcriptomic, proteomic, and image-based
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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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generation, targeted atomistic simulations, structural descriptor extraction, and predictive models. The work will aim to establish links between local pore geometry, structural disorder, sodium adsorption
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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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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
technologies Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional
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nanoporous media; Atomistic simulation of chemical reactions and/or thin-film growth; Data-driven cheminformatics for molecular modeling and/or design; Molecular dynamics simulations. Your background and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and