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the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance
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leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy resources, demand response, and storage, it aims to enhance grid flexibility and
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autonomous logistics, casualty evacuation (MedEvac), counter-UAS, EOD/demining, and distributed ISR (Intelligence, Surveillance, Reconnaissance). The AGV will operate in GNSS-denied and electronically
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
grid disturbances, outages and high uncertainty. Optimizing battery system operation, including state-of-charge management, reliability, lifetime-aware operation and backup power availability. Building
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involve various aspects of the modeling and the optimal control of active systems. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
digestate, advancing the technology from bench to pilot scale (TRL 4–5). The work encompasses three main areas: (1) process optimisation, using AI-assisted experimental design to identify optimal operating
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to improve the performance of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine
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enablers are concerned, we leverage expertise in advanced technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance
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modeling, reinforcement learning, optimization for learning, trustworthy and efficient machine learning, or foundation models including large language and multimodal models. We particularly value depth
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Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied