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Precision Manufacturing « department, we are looking for motivated student assistants to support us in innovative research projects. As a student assistant, you will support our team with FEM simulations and
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learning models and data driven FEM simulation models for sheet metal forming processes. The position requires regular on-site presence at our institute in Aachen. The weekly working hours are at least 10
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, several different configurations will be evaluated with your CFD-FEM models and tested at TRL4 (10 kWe) at TU/e to identify the most promising configurations and operation modes, first only for heating
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technology for internal resistive heating of chemical reactors, several different configurations will be evaluated with your CFD-FEM models and tested at TRL4 (10 kWe) at TU/e to identify the most promising
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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crash testing, numerical FEM modelling, post-impact 3D reconstruction, and predictive models based on Artificial Intelligence. Where to apply Website https://aunicalogin.polimi.it/aunicalogin
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adaptation, and unsteady force generation in dragonfly-inspired configurations. 2. Computational tool development — Extend the existing 2D FEM/FSI solver to efficient 2D and 3D simulation of compressible
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, electrical machines, power electronics, dielectric/insulation materials, or related areas would be advantageous. Knowledge of numerical/FEM simulation tools such as COMSOL Multiphysics and MATLAB. Programming
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metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors. • Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP
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approaches, where nonlinear FEM, rule-based design, parametric design etc and general model-based systems engineering approaches are a plus. Experience applying artificial intelligence and machine learning