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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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participation in meetings and workshops. Your daily tasks will include coding scripts and performing computations using CFD, FEM, and acoustics software. Over the course of the position, you will gradually
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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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using CFD, FEM, and acoustics software. Over the course of the position, you will gradually develop skills in writing technical reports and in publishing high-quality scientific papers in journals and
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using CAE, CFD, and FEM, integrating empirical measurement and testing, and leveraging cloud-hosted computing to accelerate the process. Target fused filament fabrication (FFF) for rapid delivery
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modeling (FEM), and thermodynamic/kinetic simulations using tools such as Thermo-Calc and CALPHAD first experience in applying artificial intelligence and machine learning techniques to Materials Science
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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