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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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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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: Turbulence and VCA induced vortex modelling as safety cases for Urban Air Mobility Supervisor: Prof. Dr. rer. nat. Matthias Mauder, Chair of Meteorology and co-supervised by at least one
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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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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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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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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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within the LIENSs Laboratory a 1-year postdoc or a research engineer to improve the numerical modelling of nature-based solutions in coral reef and saltmarsh environments using the numerical modelling
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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
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty