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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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. The research will investigate how phase distribution and flow velocities influence fluid–structure interaction (FSI) and will focus on developing novel sub-models for coupled CFD–FEM simulations. Your tasks
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unprecedented sensitivity for cavity optomechanical searches for new physics, including high-frequency gravitational waves and vector dark matter. About your role: FEM-based design and simulation
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for electrochemical cells and stacks FEM simulation to investigate seal compression Manufacture of seals on a CNC dispenser and subsequent characterization What you bring to the table Studies in the field of mechanical
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines
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obtained in experiments, Be part of change Theoretical calculations of the effect of centrifugal forces on the clamping Simulate clamping conditions using the Finite Element Method (FEM) with Ansys
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system What you bring to the table You are studying mechanical engineering, physics or a comparable subject Initial knowledge of FEM simulation with programs such as Ansys is an advantage Ideally, you have