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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies
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role of chromatin control mechanisms during viral latency and virus-induced tumorigenesis. We are particularly interested in fundamental principles that allow DNA viruses to disrupt, evade or exploit
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of the PhD project is to develop an effective control structure and real-time optimization scheme for a novel continuous bioprocess. The control and real-time optimization will then be validated in experiments
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Twins & Energy Analytics Forecasting & Optimization Algorithms Green Hydrogen Technologies ICT Applications in Energy Systems GIS Applications in Energy Planning Interdisciplinary and innovative research
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studies of orbital currents and conversion mechanisms to optimize the performance of spin-orbit devices Moirés of orthorhombic van der Waals magnets Exploring and controlling curvature-induced non
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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—influence emotional activation, cognitive information processing, and subsequent economic behavior. The empirical part of the work will be based on a controlled laboratory experiment in which auditory stimuli