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. macroscopic Maxwell equations) using physically informed neural networks or similar approaches. These models will be implemented and verified both computationally and experimentally. The application
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secondments the HEAT4ENERGY PhD students will engage in all fields of materials development for energy, ranging from physics to industrial practice. This position is excellently appropriate for candidates who
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process developments with 200-300 mm pilot line capabilities - Actively form the R&D roadmap of the research unit on spintronic and MEMS devices, and integrate it into the unit strategy together
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