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the Fluid and Surface Group within FLOW. This position offers an exciting opportunity for a highly motivated candidate to contribute to a cutting-edge research program. The project, funded by
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of gas emissions. This will involve leveraging advanced gas transport models, including advection-diffusion equations, computational fluid dynamics (CFD), and Navier-Stokes equations, to provide deeper
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Anthony Falls Laboratory is a globally recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over 80 years, our innovative and
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) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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recognized hub for pioneering research in experimental and computational fluid mechanics, hydrology, and earth-surface dynamics. For over 80 years, our innovative and adaptable facilities have attracted
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Computational Fluid Dynamics (CFD) solvers into Python-based AI frameworks (e.g., PyTorch, JAX) to enable high-efficiency, scalable simulations of aerosol transport systems. The developed model will incorporate
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
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. in Aerospace Engineering, or a related area of study; extensive experience in high-fidelity computational fluid dynamics using supercomputers with system identification, reduced order modeling and
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Programme? Not funded by a EU programme Reference Number BAP-2025-762 Is the Job related to staff position within a Research Infrastructure? No Offer Description For the first time, a wide range of biomarkers