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website: https://www.hortenseleferrand.com/ We are looking for a researcher able to carry FEM simulations of reinforced composites materials using Abaqus. The experimental characterization of samples
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powders Skills: FEM software (Comsol Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), UNITY3D, Visual C++, LabVIEW We regret to inform that only shortlisted candidates will be notified. Hiring
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(FEM). Expertise in computational mechanics using FEM/FVM, with experience in commercial or open-source modelling of fluid-solid systems. Understanding of unconventional gas production and coal
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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) Validate the model by performing simulations using conventional methods like nonlinear FEM, and comparing the results to computational observations. 3) Support the educational activities of the Pl through
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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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Experience with either optical wave propagation simulations (e.g., Finite-Difference Time-Doman, Rigorous Coupled Wave Analysis, FEM) for metaoptics or experimental experience with metaoptics Department
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint