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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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of tissue response at spatiotemporal scales not achieved before, with complimentary techniques. We will establish finite element (FE) models of the human cochlea in (not limited to ABAQUS, ANSYS, etc.), using
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Finite Element Analysis. The candidate will work with a team of experienced researchers within the fields of concrete technology, structural design and computational mechanics. You will report to
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-class collaborators. Profile We expect from you: Recently obtained master degree in engineering or physics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis
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, such as high-order finite element methods, reduced order modelling and machine learning. The development of the tools will require significant amount of computer programming using Python, C/C++ and Fortran
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means. Numerical modelling using the finite element method could complete the study once a comparison with the experimental results is relevant.Laboratory and means:This PhD project is part of
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outstanding grades Excellent knowledge of continuum mechanics and finite element analysis Excellent coding abilities in at least one language Knowledge and experience with fracture mechanics and/or phase-field
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) • Basic knowledge of finite element simulations (for example star CCM) are an added value, but not necessary, the colleagues of the ProPoLiS research group will help you out with pleasure • You are
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flow metrics as a function of the above factors. It uses a Fluid Structure Interaction (FSI) approach, with a Computational Fluid Dynamics blood flow model coupled to a structural Finite Element model
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enable the fast and reliable computation of bone mechanical characteristics. Finite element (FE) modelling is an engineering tool for structural analysis that has been used for many years to assess