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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 1 month ago
parallel and heterogeneous architectures, permits the integration of advanced interoperable CFD components, including in particular Finite Volume (FV) as well as Finite Element (FE) methods, namely
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candidate will enjoy working on finite-element based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with
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mathematics. An important aspect of the ongoing research is solving stochastic partial differential equations on surfaces, e.g., with surface finite element methods. The following requirements are mandatory: A
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FieldEngineering » Industrial engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications -Manejo de herramientas de simulación por elementos finitos / Use of finite element simulation tools
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expertise in the analysis and design of concrete structures. Advanced proficiency in Finite Element Modelling (FEM) using tools such as Abaqus, ANSYS, RFEM, SAP2000, MIDAS or equivalent. Solid understanding
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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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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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collaboration with academics from the Bristol Composites Institute and Rolls-Royce PLC. This will entail introducing and validating finite-element based multiscale and multi-physics modelling methodologies and
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
are well known: Poor performance on complex geometries and topography. High numerical dispersion for high-frequency modeling. Difficulty in coupling with adaptive meshes. High-order spectral 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