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in the area of scientific computing and Computational Fluid Dynamics. Prior Experience in turbulence modelling, machine learning or the Lattice Boltzmann method is an advantage. Operational skills
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required: Contributions in the area of scientific computing and Computational Fluid Dynamics. Prior Experience in turbomachinery or the Lattice Boltzmann method is an advantage. Operational skills : Physical
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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Department (DRIS), you will participate in research activities on the optimization of non-Newtonian fluid injection for the decontamination of polluted soils. Tests will be conducted, in 1D columns, in 2D