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, advanced studies, specialized training). Preferential factors: Professional or academic experience in Machine Learning; Professional or academic experience in Finite Element Modelling; English language
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 29 days ago
Qualifications: Bachelor’s degree in Mechanical Engineering Proficient knowledge of the finite element method for structural analysis using Abaqus® software Advanced knowledge of programming languages such as
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of manufacturing processes in composite materials. Development of user subroutines for finite element constitutive models Validation of model and numerical analysis results You will be the project lead, managing
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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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, implemented within finite element software, to describe damage, cracking, and degradation of concrete subjected to extreme conditions. The research will explicitly account for micro-scale phenomena such as
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. Proficiency in programming languages like Python and MATLAB is essential. Practical experience in data science, predictive analytics, finite-element modelling, structural analysis, and/or offshore structures is
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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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analysis. Technical Skills: Experience with advanced finite element software and nonlinear static and dynamic analyses. Specifically, high proficiency with both DIANA FEA and ABAQUS. Strong numerical skills
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mechanics, applied mathematics, biomedical engineering, computer science or a closely related discipline Strong background in finite-element methods, continuum mechanics and numerical analysis Excellent
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under thermomechanical fatigue (TMF) using the finite element method (FEM). One part of the project involves combining experimental investigations and FE simulations of damage behaviour at the macroscopic