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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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will focus on designing and optimizing integrated reactor concepts that combine sequential catalytic reactions with in-situ separation. Using a multi-scale approach, you will couple catalyst development
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logistics, energy systems, and AI-driven optimization. These problems are widely regarded as the natural domain of quantum computers, yet they remain extremely demanding for both classical digital computers
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. She is intrigued by the lives and relationships of teenagers, and how parents can optimally contribute to their child's positive development, mental health and well-being, despite their decreasing
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production of high-value chemicals, such as fuels and organic molecules, from “waste” substrates, for example, carbon dioxide and biomass. The main aim is to understand, develop, and optimize electrochemical
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mathematics. Strong background in mathematical systems and control theory. Experience and/or a keen interest in the field of hybrid dynamical systems, observer design, learning techniques, and optimization
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OCT system must be optimized in terms of noise and detection efficiency. You will do this based on experiments and physical modeling of SC, detector, and system performance. Second, the OCT system must
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-of-the-art AI solutions (machine learning, reinforcement learning, optimal control, neuromorphic computing) that help bring the consortium forward in modelling and understanding biological intelligence