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optimized designs in actual resonant power converters using WBG semiconductors. The expected outcomes include a robust 3-D modelling framework, novel low-leakage magnetic layouts, and an advanced design
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on developing data-driven, low-order aerodynamic models of VPPs, updated in real time with experimental data, and using them to design control strategies for flight stability and performance optimization
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experience in design of (analog/mixed-signal) integrated circuits. hands-on experience with methods of optimization and circuit design and layout. Candidates should be motivated, independent, show critical
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data collected from a geothermal borefield in Brussels, modelling activities of subsurface heat transfers between borehole heat exchangers, and the development of strategies for the optimal integration
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Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced
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); novel obfuscations and obfuscation recipes to defeat LLMs and other AI-based reverse engineering tools; the use of AI techniques and LLMs to optimize reverse engineering strategies; modeling techniques
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broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial
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tools and simulation models to (1) detect novel pathogens early through broad genomic screening, (2) support hospitals in mitigating the impact of pandemics through optimized data-driven decision-making
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farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based