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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
discovering research and potentially pursuing a PhD. Expected skills • Solid background in numerical methods (PDEs, finite elements, scientific computing). • Interest in modeling, model order reduction, and
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steps of the process, FEMM, a finite element analysis tool will be called from Python to complement the analysis. Behavioural competencies Education You must be a university student, preferably studying
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manufacturing, thermomechanical simulations, and process modeling (prior experi- ence in finite element analysis, computational thermodynamics, or residual stress modeling will be advantageous) Solid
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procedures for multi-physics and multi-scale finite element simulations in porous media. About us The Doctoral student position is to be placed at the Division of Material and Computational Mechanics , which
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knowledge of numerical methods - knowledge of free-surface flows, granular flows - proven experience in numerical simulation (finite elements, finite volumes, CFD, LES, etc.) - proficiency in basic scientific
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and executing experiments on structural frames, members, and components Conducting thorough investigations utilizing finite element analysis Assessing seismic performance through macro modeling
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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operations research methods (e.g., linear, nonlinear, integer, stochastic programming) and computational mathematics (e.g., finite elements, reduced-order models). Co-develop open-source tools, educational