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automation of magnetic components towards ultra-compact power converters for electromobility applications”. This project addresses the growing demand for energy-efficient power electronics in electromobility
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biomass remote sensing, crop modeling, data assimilation and machine learning Supervise master thesis students For PhD students: follow training in line with the doctoral school requirements Where to apply
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essential to reduce the size of the reactor and, consequently, its overall cost. The past decades, gradient-based methods have been proven extremely powerful in combination with computational fluid dynamics
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, utilization and storage (CCUS). Additionally, renewable fuels (including hydrogen) might be needed for hard-to-abate sectors. On the demand side, corresponding changes are needed, both on the level of