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of supporting the selection of aortic valve prosthesis using CFD simulation, machine learning and multi-stage validation, (2024/54/E/ST8/00100) Requirements: PhD in technical sciencesThe mandatory formal
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systems, with a focus on thermal integration of metal hydride storage systems. The Research Fellow will develop CFD models, process simulations, and system-level integration strategies to enable efficient
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Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling research publications in the field of Fluid Mechanics. Applicants are invited to contact Miss
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position in the Hasti Lab at the University of Central Florida (UCF), Orlando. The role involves advancing state-of-the-art, high-fidelity computational fluid dynamics simulations (CFD) for accurate
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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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of computational fluid dynamics (CFD) models describing thermochemical conversion processes of biomass and waste-derived fuels, including combustion, pyrolysis, and gasification. The successful candidate will
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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aerodynamics and load stability. The role will involve assisting with experimental studies, computational fluid dynamics (CFD) simulations, and analytical modelling to characterise flow fields, quantify peak
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flows in industrial bioreactors. It aims to use new experimental techniques as well as advanced numerical approaches to improve CFD simulation tools and their application for the scale-up of bioreactors
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characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics