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Field
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
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representation theory, simple perturbation theory, and similar analytical tools. Molecular dynamics of semiconductor-oxide interface. Numerical simulations of the oxide condensation process based on force-field
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic
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molecular dynamics and path integral simulation methods, machine learning techniques, and electronic structure techniques. Additional background in statistical mechanics and deep eutectic solvents is highly
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skills while guiding undergraduate and graduate students; About the project During our lifetimes, we copy approximately a lightyear’s worth of DNA, and how the different components of the molecular
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initio molecular dynamics simulations Quantum dynamics simulations Computational quantum chemistry for chemical reactions Qualifications For Postdoctoral Researchers: Ph.D. in Chemistry, Materials Science
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graduate students; About the project During our lifetimes, we copy approximately a lightyear’s worth of DNA, and how the different components of the molecular machinery (the replisome) work together to
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methods such as Density Functional Theory (DFT) and Molecular Dynamics (MD), and, optionally, in X-ray scattering or diffraction.For more information and to apply, please submit a cover letter, CV and a
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio