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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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generates clean energy that can power future HPC systems. You will design, implement and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within
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Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind
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of molecular reactions occurring at the surface of various materials. In addition, computational fluid dynamics (CFD) simulations combined with microkinetic modeling will be carried out to study the heat
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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objective will be achieved using engineering and CFD tools capable of addressing high-speed, turbulence, transition, high-speed combustion, and the thermo-mechanical coupling with the thermal protection and
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ideas/adaptation and development of research protocols. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in
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research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, computational fluid dynamics (CFD) experts, and computational scientists to enhance the predictive
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on spatial and temporal development of hydrogen jets injected into high-pressure and temperature shock-tube environments. You should possess (or be near completion) a relevant PhD/DPhil in engineering
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seeking a Postdoctoral Research Associate to assist in the development, qualification, and deployment of Computational Fluid Dynamics (CFD) simulation codes, methods, and standard processes for thermal