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Field
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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
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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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the benchmarking of continuum modeling code together with GTK. Take part in dissemination, outreach, and teaching activities. Profile of the candidate PhD in relevant field (Physics, Chemistry, Geology, Fluid
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predictive control, and/or reinforcement learning. PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start in mid-late 2025 a research track record
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 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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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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reacting flows. A novel aspect of the project is the use of highly perturbed laminar flame simulations to inform CFD modelling of turbulent combustion in lean hydrogen-air mixtures. Experimental work will be
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presentations. Your profile Applicants should hold a PhD in mechanical or process engineering or similar. The selected applicant must have a high level of expertise and experience in CFD, specifically in using
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation