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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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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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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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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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engineering simulation tools, such as optical ray-tracing software, finite-element analysis (FEA), CFD solvers, or thermal/structural analysis tools. Strong ability to work with integrated optical–mechanical
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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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computational models (e.g., Convection-Diffusion Equations, Finite Element Methods, Computational Fluid Dynamics) to investigate cerebral blood flow (CBF), neurovascular coupling (NVC), and neurovascular system
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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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