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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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machine learning methods. Provide theoretical predictions to guide experiments, and atomic-scale physical understanding to experimental observations. Publishing findings in peer-reviewed journals
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. Areas of application include lithium-ion batteries, high-salinity water treatment, and separations. The researcher will employ molecular dynamics (MD) and quantum mechanical (QM) methods to develop and
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