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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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-position-design-tool-for-t… Requirements Specific Requirements Requirements (hard-skills): MSc graduate in Mechanical Engineering, Physics, Civil Engineering, or related fields Knowledge of Finite Element
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, structural optimization, coupled problems, and experimental mechanics, with applications to metals, polymers, fibrous materials, and granular materials. Numerical methods, such as the finite element method
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month 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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. 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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or replace established methods from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along
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: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
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to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dim. problems, classical (mainly finite elements, FEM) as well as alternative discr. meth. (e.g., Lattice Boltzmann
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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data is essential. Experience in geometric morphometrics and/or finite element analysis is desirable. The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing