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feedback linearization, enabling control of nonlinear systems under uncertainty and partial model knowledge, Learning dynamics within control loops, integrating adaptive and optimization-based updates (e.g
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and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs
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CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
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MRI measurements can be translated into meaningful input for predicting optimal sensor phase configurations and feedback control; Identify pathways towards the integration of domain knowledge about MRI
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advice, setting up acquisition sessions, and ensuring optimal microscope performance. Your job You play an important role in ensuring our diverse user community has the best possible experience at our
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the Commencing CRISPR Commons project, funded by the Gates Foundation, which aims to establish a plant‑optimized, freedom‑to‑operate genome editing platform based on the ThermoCas9 nuclease. CRISPR/Cas systems
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knowledge of the potential of glycoscience in cancer immunotherapy and the necessary transferable skills. CanGoNano will provide an international, intersectoral and interdisciplinary educational program
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support optimization of patient care. Whether this is achievable depends on the reliability of an AI-model. Testing of AI is often done on small numbers, and AI-models are not equally useful in all