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Field
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in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and conducting experimental studies in a mechanical engineering laboratory
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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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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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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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, modelling and simulation, CFD, control and experimental investigation would be particularly useful. Candidates close to completion of their PhD will initially be appointed in the junior research training zone
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Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
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background in surface complexation, chemical thermodynamics, and surface reaction processes. Experience in any kind of molecular dynamics simulations. Experience in any computational fluid dynamics (CFD
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
into the CFD and radiative codes in a tractable manner that could be used for future studies of entry systems. Field of Science: Interdisciplinary Advisors: Brett Cruden Brett.A.Cruden@nasa.gov (650) 604-1933
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interpersonal skills and ability to work collaboratively with others Project management experience Experience with CFD and CAD software Understanding of sCO2, H2 and NH3 process and energy generation systems (i.e
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD