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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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, 2025. We are looking for: The applicant should perform active research in numerical analysis of finite element or finite volume methods for coupled problems in one of the application areas of the group
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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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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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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in and like coding. In this project, Julia and C++ will be utilized. • You have experience in and like implementing Finite Element routines. • You have very good English language skills
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), both for new applications and for the substitution of existing designs made from other materials. We use finite element software packages (e.g., ABAQUS), specialized meshing and CAD programs (e.g., ANSA
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of finite element or finite volume methods for coupled problems in one of the application areas of the group (fluid mechanics, semiconductor device simulation, electro-chemistry). Expected