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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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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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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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comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis/FEM Structured, independent working style and ability
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, for example a 4-year bachelor's degree is accepted. Strong written and verbal communication skills in English Meritorious qualifications Powertrain mechanics, tribology Modelling (FEM, CFD) Materials
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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
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specifically related to Space applications. This would include CAD design, FEM software analysis, fabrication and assembly abilities, supply chain assessment and identification, hands on assembly abilities