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Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
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system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance
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Dynamic GRNs from scRNA-seq + scATAC-seq Cell state-specific causal GRNs from population-scale scRNA-seq We continue to push the boundaries of reverse-engineering molecular interactions from observational
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The Department of Population and Public Health Sciences at the Keck School of Medicine seeks a passionate and committed Postdoctoral Scholar Research Associate to join a dynamic, interdisciplinary
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, Chemical Biology, Biophysics). The ideal candidate will have strong research experience, publications, and background knowledge in: i) All atom and coarse grain molecular dynamics simulations for RNA using
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combination of protein design and molecular simulation techniques. Our primary objective is to uncover the mechanisms governing biomolecular functions through experimental characterization of the designed
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Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists to utilize EBV and HIV-1 infection data together with multiscale ABM
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biology capabilities within a dynamic, multidisciplinary research environment at King’s College London. The successful candidate will bring deep expertise in tissue processing, digital pathology, spatial
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formation of polyhalogens. The applied methods will include first principles methods like DFT, both for finite and periodic systems, ab initio molecular dynamics simulations and calculations of various
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molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top candidates using high-throughput bacterial systems and