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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | about 1 month ago
, shock, etc.) involving large deformations and strain rates. Goal: The objective is to reproduce in a unified methodology, based on the finite element method, the successive steps (ductile damage/strain
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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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computing environments. Experience with numerical modelling techniques, such as finite difference, finite element, or spectral element methods. Interest in inverse problem formulation and solving and/or
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 3 months ago
/show/id_offre/135518 Requirements Specific Requirements Needed skills and knowledge: Numerical modelling (experience in Finite Element Methods and/or AI-based modelling) Collaborative work in a large and
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stresses near the surface. Research and development activity is ongoing to apply carburizing to steel grades richer in alloying elements (Mo, V, Cr…), for applications at higher temperature dedicated
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the physical principles of structural dynamics and (vibro-)acoustics and the related numerical modeling techniques, such as the Finite Element Method (FEM), as well as numerical optimization, manufacturing
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media where the large proportion of interfaces and the finite amount of matter lead to remarkable properties. The systems studied share the common feature of exhibiting heterogeneities at the nanometric
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tasked with developing and implementing new efficient numerical methods for high-frequency wave propagation problems in the finite element open-source software FreeFEM developed at Laboratoire Jacques
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
to develop a digital twin of the process. The approach is to couple phenomenological models obtained by AI processing of experimental data with Finite Element Models (model reduction by AI) and Cellular
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include the development of finite elements methods, as well as inverse design strategies based on deep-learning and Neural Networks approaches. The latter will then bring the project to the experimental