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Are you an innovative researcher with a strong background in CFD, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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behaviour of the RPB using a CFD approach. - Implement an RPB for solvent regeneration. Where to apply E-mail michel.meyer@ensiacet.fr Requirements Research FieldEngineering » Chemical engineeringEducation
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publications in archival and conference presentations. Desired Experience: Professional expertise with a focus on applying advanced CFD and post-process tools to the fields of computational aeroacoustics. Create
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will be carried out using OpenFOAM, an open-source CFD software with turbulence, bi-fluid, and non-Newtonian modeling capabilities. Alternative equivalent software known to the candidate may also be used
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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Science, or a related field completed within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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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