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mechanics models and statistical reliability models (e.g. Weibull failure models). Materials of interest include high-temperature alloys, ceramics, and ceramic matrix composites. The goal is to enhance
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models to solve solid mechanics-related Multiphysics problems on hybrid computing clusters utilizing both CPU and GPU. The candidate will work with a multidisciplinary team to develop material models and
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a multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists with computational fluid dynamics (CFD) and reduced-order modeling (ROM) expertise, with
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staff scientists with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with the goal to enhance predictive capability and scalability of multi-scale and
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques. Position Requirements Knowledge of and experimental expertise in synthesis and characterization of highly air
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behavior, materials, neutronics, thermal-hydraulics, and structural mechanics. The candidate will assist in investigation of the performance of nuclear fission reactors and fuel cycle facilities and
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and emissions associated with energy systems, including sustainability of various energy products, services and chemicals. Position Requirements PhD degree in chemical engineering, mechanical
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and emissions associated with energy systems, including sustainability of various energy products, services and chemicals. Position Requirements PhD degree in chemical engineering, mechanical
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multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with the goal to enhance
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Requirements Required Knowledge, Skills, and Experience: PhD in Economics, Mining Engineering, Mechanical Engineering, Environmental Engineering, Material Science, Systems Engineering, Logistics/Supply Chain