21 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in United States
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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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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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, 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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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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. The postdoctoral researcher will be responsible for performing quantum mechanical (QM) calculations, molecular dynamics (MD) simulations, and force field parameterization to support ongoing interdisciplinary
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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molecular dynamics, enhanced sampling, and kinetic modeling—the team investigates how neurotransmitters like norepinephrine and hormones such as estrogen interact with β-adrenergic and estrogen-related GPCRs
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics