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models (e.g. laser-induced choroidal neovascularisation). Strong technical skills in cell culture, microscopy, molecular biology, and immunohistochemistry. Evidence of high-quality research output
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must have a Ph.D. in Chemistry, Physics, or related field, with extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications
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Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and
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and exploit the interrelated processes of viral glycosylation and viral dynamics. Molecular simulations will enable the identification of cryptic pockets in viral proteins that form during the entry
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 40 minutes ago
molecular dynamics, discrete element method and bonded-particle model. Experience with granular flow, plume-surface interaction, fracture mechanics, thermomechanical response, and impact are a plus. The
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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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research laboratory in solid-state physics, nanoscience, molecular chemistry, and materials science. Its activities range from the synthesis of (nano)materials and molecular systems to the study and modeling
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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, chemistry, computational science, or a related field. Strong expertise in at least two of the following: density functional theory (DFT)/many-body methods, molecular dynamics (MD), machine learning (ML
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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