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to understand and refine new CFD application and/or CFD discretization techniques and then lead the implementation of these techniques into large-scale, automatic computational work-flows with particular
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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reconstruction Background in transport modeling (continuum methods, CFD, or data‑driven surrogates) Interest in or experience with machine learning/AI applied to scientific data Demonstrated research productivity
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the last 5 years Preferred Qualifications: Strong background in experimental systems related to heat and mass transfer systems. Knowledge of CFD tools and analytical modelling is preferred. Experience with
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Science, or a related field completed within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite