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, engineering, business, or a related discipline. A minimum of 8 to 12 years of aligned professional experience, or a MS degree with a minimum of 7 to 11 years of relevant and aligned experience, or a PhD degree
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for multiple projects, develops work breakdown structures, Project Management Plans and/or backlog feature and story definitions, project tasking and sequencing for project schedules, develops project budget and
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work