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Field
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Large Eddy Simulations, turbulence research, and the Julia programming language is an advantage but not required. Interest in the intersection of solid/fluid mechanics. Ability to work independently
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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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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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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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: 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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, ocean data assimilation, and computational methods for understanding and predicting regional and coastal ocean circulation. This is a full-time position for 2 years, with the possibility of a 3rd year
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modeling, computational fluid dynamics (CFD), and high-performance computing (HPC). Analyze simulation results and publish findings in leading scientific journals and international conferences. Collaborate
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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sequence and to model the evolution of body size using bounded evolutionary models. 3) Biomechanical and Hydrodynamic Modeling: Apply computational fluid dynamics to test hydrodynamic hypotheses related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 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