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Field
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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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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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this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how
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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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analyses of synaptic connections and tip link integrity. A fourth cohort will be treated with the optimal post trauma acoustic protocol identified in Goal 2, allowing us to test whether improved tip link
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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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. 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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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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; Secure research spaces for specialized projects. The Drone Laboratory provides a controlled environment for spectrum characterization, RF algorithm development, countermeasure testing, and integration of C