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at better understanding of ligand binding in solution and molten salts chemistry. Computational methods will primarily involve density functional theory calculations for molecular and periodic systems
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
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functional theory (DFT) outputs for representative quantum paraelectrics and use these force fields to perform lattice-dynamics simulations with explicit quantum mechanical treatment of the nuclei. Profile A
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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Apply now Job no:534905 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants Department: Center for Translational Neuroscience Rank
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members working on novel high-resolution microscopy techniques to experimentally quantify transition probabilities, alongside density functional theory (DFT) calculations of defects in feldspar. This inter
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to density functional theory and many body perturbation theory based methods such as GW+BSE. Applicants should have expertise in the computational implementation of both ground and excited state first
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developing and/or using quantum chemical and/or density functional theory methods using a variety of software packages. Demonstrated ability to undertake high-quality research and write high-impact manuscripts