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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work
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Proficiency in at least one programming language, preferably Python; experience with scientific computing, numerical modeling, or machine-learning frameworks is an asset Strong analytical skills with a solid
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University. This will provide plenty of opportunities to master state of the art research-grade lasers and develop applied optics skills, instrument control, numerical modelling and demonstrate fundamental
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proficiency in English. Documented experience in CFD and numerical modeling, preferably with OpenFOAM, Nek5000, or LBM. Strong programming skills (C++, Python, or similar). Ability to work independently and
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mitigation strategies, such as selective yaw control and power down-regulation of wind turbines. Use experimental, field, and numerical data to validate, improve, and develop fast analytical wake models
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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Description One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and
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practical skills in numerical modelling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5510-PETGRI-001/Default.aspx Work Location(s) Number of offers available1Company