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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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to plasticity. (assessed at: application/interview) Experience in computational mechanics, especially numerical methods for solving field equations relevant to material mechanics, i.e., Finite Element schemes
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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 | 2 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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, 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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finite element modeling programs such as SCIRun, COMSOL, or similar Special Instructions to Applicants: Applications should include a CV/resume, a brief (1 page maximum) statement of their career goals
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%); Experience in analysis and simulation and finite element software for the analysis of building components; energy and thermal simulation (30%); Motivation letter (20%); Proficiency in Portuguese (5%) with
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
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electromechanical systems; - Knowledge of pneumatics; - Knowledge of the finite element method Minimum requirements: - Master's degree average of 16 or higher. - Professional experience in the creation