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Field
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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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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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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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, 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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., EnergyPlus, Modelica, CONTAM, CFD, etc.) Prior work or research experience related to building automation systems and sequences of operations is highly desirable. Proficiency in scientific programming, data
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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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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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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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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