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The Chemical Sciences and Engineering Division is seeking a postdoctoral appointee who conducts research as part of a multidisciplinary team in supported molecular inorganic and organometallic
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molecular dynamics, continuum non-equilibrium methods, and artificial intelligence assisted tools to simulate the aforementioned systems. Enhanced sampling methods and collective variable discovery
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kinetics of radicals and molecules over broad ranges of pressure. Recent work has focused on, gas-phase molecular growth, disproportionation and thermally initiated roaming radical reactions. A core strength
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conduct fundamental research in chemical separations using computational methods, including free energy methods with molecular dynamics simulations. The position will focus on solution phase separations
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teamwork. Applicants should have expertise in some of the following: Density functional theory/molecular dynamics modeling of materials, e.g. high throughput calculations, structure prediction, classical
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science, or similar field Knowledge of high-performance computational science. Examples include, but are not limited to, computational science research in at least one of the following: biology; chemistry; earth
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In this position, you will characterize and analyze the behavior of nuclear fuels and structural materials used in current- and next-generation nuclear energy systems and research reactors. You will develop correlations to describe the characteristics of materials and models to describe their...
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members, as well as with research teams from the broader Argonne community, the University of Chicago Pritzker School of Molecular Engineering, and our Q-NEXT partners. In addition to research activities
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School of Molecular Engineering. The candidate is expected to publish results in refereed journals and makes oral presentations at meetings conferences, symposia, and seminars. The candidate is expected
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or classical molecular dynamics) of metal-inorganic complexes and clusters. Scientific programming (e.g. C++, Fortran, python,….) An understanding of basic concepts in deep learning and PyTorch will be a plus