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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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and carry out finite element method (FEM) simulations. Our developments focus on higher efficiencies, more cost-effective manufacturing processes and materials, improved long-term stability and new
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« group of the »Glass and Precision Manufacturing« department, are looking for motivated student assistants involved in highly innovative research projects. Your main tasks consist of FEM simulation and
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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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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conventional methods like nonlinear FEM, and comparing the results to computational observations. 3) Support the educational activities of the Pl through graduate student mentoring, selected lectures, and
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qualifications (preferable) EU B driving license. Drone pilot certification. Basic skills in low-level programming or embedded systems. Experience with simulation tools (Gazebo, Unity). Familiarity with FEM
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shaping the change! We support you in your work with: A research topic with strong relevance for future memory technologies Work with a well-established FEM simulation tool Close supervision and integration