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Engineering or a closely related discipline. You will have demonstrable experience in one or more of the following areas: Finite Element Analysis, Computational Fluid Dynamics, Discrete Element Method, Multi
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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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assigned. (2%) Required Education and Experience Master’s Degree in relevant field of engineering 3 years of related professional experience to include non-linear finite element modeling and simulation
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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
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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, natural language processing (NLP) and machine learning Connected and autonomous vehicles Disaster and natural Hazard assessment and management Discrete element method (DEM) and finite element methods (FEM
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dimensioning and tolerancing, including drawing standard ASME Y14.5. Extensive experience with SolidWorks or equivalent 3D CAD software. Proficiency in Finite Element Analysis using ANSYS, COMSOL, or equivalent
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phase-field methods within finite element frameworks with advanced experiments in simulated nuclear reactor water environments to predict material lifetime. The project includes materials characterization
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of academic background and scientific publications (45%); Experience in analysis and simulation and finite element software for the analysis of building components; energy and thermal simulation (30
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exhibiting magnetovolume coupling and/or negative thermal expansion; thermal, magnetic, morphological, and structural characterization; magnetic and structural analysis; preliminary experience with finite