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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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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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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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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab
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of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing
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modules and results from university-level courses taken List of publications Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally
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co-design processes Develop partnerships with policy makers, practitioners and civil society organisations Contribute to the development of creative project outputs Your profile PhD in environmental
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courses taken List of publications The name and contact details of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE
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the HR system. Applications by email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our