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innovative computational approaches, leveraging finite element simulations, AI, and clinical data, to better understand the mechanisms of MR. This aims to improve patient risk stratification and treatment
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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efficiently work in a highly multidisciplinary team. You have a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics
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