40 structural-optimization-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16974 Overview: We are seeking a Postdoctoral Research Associate to conduct Mechanical Behavior of Advanced Structural Alloys by Engineering Diffraction. This position resides in
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Requisition Id 16386 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced research on the mechanical behavior and microstructure evolution of advanced structural alloys
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alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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for radioactive s-, p-, and f-block metal ions. Independently execute and troubleshoot complex, multi-step organic syntheses on the multi-gram scale, including reaction optimization, scale-up, purification, and
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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methodologies to calculate and optimize materials to meet scientific objectives Conduct collaborative research and report results in journal publications, conference papers and technical manuals Basic
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate