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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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: atmospheric convection, radiative transfer, climate change, atmospheric/fluid dynamics, or machine learning. Proficiency in numerical analysis and high-performance computing. Experience with atmosphere/climate
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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AM processes for metallic systems, knowledge and experience in heat transfer/fluid dynamics/structural mechanics through the applications of computational and statistical methods. The position is also
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data assimilation systems on Unix/Linux and high-performance computing platforms. Evaluate model and assimilation performance using statistical and dynamical diagnostics and verification against
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
Engineering, Physics, or related field. Technical Skills (Required) • Demonstrated experience with computational fluid dynamics (CFD) • Demonstrated experience with DSMC • Strong background in rarefied gas
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Requisition Id 16949 Overview: We are seeking a Postdoctoral Research Associate who will focus on efforts related to gas dynamics, fluid flow, and mass transfer. This position resides in the Applied
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, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics modelling to support device design and interpretation of experimental results, using COMSOL, ANSYS
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Posting Description POSTDOCTORAL ASSOCIATE, Chemical Engineering, in the area of complex fluids and ionic liquids, will work under the direction of Professor Maggie Qi to establish a coarse-grained
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
ground. Ad-hoc choices for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic