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for unstructured meshes and/or finite element methods. Experience with CFD discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC
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computational modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and
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modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and travel
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Programming experience in scientific computing environments Preferred Qualifications: Experience developing Finite Element Method or CFD models for composite manufacturing applications Knowledge of machine
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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analytical methods and finite element analysis packages to prove designs meet established design standards. Provide hand calculations to support the design. Prepare schedules, cost estimates, status updates
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
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empirically informed methods to advance the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element
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for unstructured meshes and/or finite element methods Experience with CFD discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC
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for unstructured meshes and/or finite element methods Experience with CFD discretization techniques for unstructured meshes and/or finite elements with an emphasis on highly scalable algorithms for exascale HPC