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networks also need to evolve, offering, e.g., ubiquitous connectivity and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks
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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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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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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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Job related to staff position within a Research Infrastructure? No Offer Description Would you like to contribute to reducing health inequalities by co-creating, evaluating, and optimizing an adapted
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mechanism underlaying plant interactions with this novel class of microbes. This knowledge will help us understand how to fine-tune suberization patterns for optimal crops stress protection. This ambitious
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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/358908/phd-position-accelerating-genet… Requirements Specific Requirements a highly motivated person with a strong interest in methanogenesis and the estimation of variance components to optimize animal
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will join the lab of Bettina Schwab within the Biomedical Signals and Systems group of the department of Electrical Engineering at the Faculty of Electrical Engineering, Mathematics and Computer
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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