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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
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the Philip Leverhulme Prize. We are looking for a researcher interested in running coupled chemo-mechanical finite element simulations to address mechanical challenges that are holding back
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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transformations and also of finite element simulations of shape memory alloys. Physical experiments involve differential scanning calorimetry, thermomechanical testing, and potential nanoindentation of shape memory
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mapping and imaging experiments to probe local heat transport and phonon dynamics; Perform finite element modeling (FEM) (e.g., using COMSOL Multiphysics) to simulate thermal transport processes and support
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jelly membrane through finite element analysis, in: Proceedings of SB2024. Compiégne, France. Da Rocha, A., Chatelin, S., Po, C., Laurent, C., Perroud, O., Kerdjoudj, H., Mauprivez, C., Baldit, A., 2025a