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, this interdisciplinary project will also optimize the surface passivation of nanowires to improve voltage and current matching. The project aims to achieve scalability by transferring nanowire solar cells onto lightweight
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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, Antennas and Optical Networks, Systems and Control, Signal Processing and Biomedical Engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies. Qualifications Requirements A doctoral degree or an equivalent foreign degree in Control
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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-precision hardware without compromising simulation fidelity. Data-centric optimization: Designing and implementing communication schemes and data access strategies targeting post-exascale systems, e.g., using
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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the road, rail, aviation, and maritime sectors. We also work on natural language processing, autonomous robots, and applications in health, sports, and environment monitoring. Through our research we aim