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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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and the spatial distribution of potential reservoirs. This PostDoc position is part of the PEPR « sous-sol, bien commun » project IDYLLE (Impact of Lithosphere Dynamics and Basin Evolution
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at least one of the following areas: Combustion, Fluid Mechanics, Acoustics, Control Engineering, Dynamic Systems, Scientific Computing. Experience in scientific computing and numerical simulation
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of the following areas is an asset: fluid dynamics, droplet impact, multiphase flow, heat transfer, phase change, high-speed imaging, vacuum systems, optical diagnostics, or surface science. Experience
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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simulation tools (molecular dynamics, dissipative particle dynamics etc.) to understand the dynamic properties of ionic liquids. The postdoc will also perform all-atom MD simulations to extract key chemical
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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carbon cycle dynamics, paleoclimate, and fluid-rock interaction. We seek individuals with research programs who can bridge existing research foci in hazards, energy, resources, and climate within
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for engineering careers in aviation starting as early as 1928, housing one of five NASA centers of excellence in Computational Fluid Dynamics in the 1970’s, building the world’s first Tornado and Downburst