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Electrical Engineering, Computer Science, or a related discipline. A research-oriented attitude. Solid background in machine learning and optimization methods. Knowledge and experience in (wireless
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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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Knowledge of alternative propulsion systems (hydrogen, electric, hybrid) Familiarity with ATM concepts, airspace design, or traffic flow management Experience with optimization or operational research methods
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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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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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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
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. The lack of knowledge is related to the models that should be used to auralize UAM in urban environments: new models are needed to predict noise exposure in urban cities. Traditional aircraft noise studies
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staff position within a Research Infrastructure? No Offer Description Do you want to contribute to finding practical solutions for optimized nutrient adequacy, when shifting towards more plant-based diets