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how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and synthetic biology. Apart from shedding light on
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. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and
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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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the transition to a sustainable energy future. SOECs, which operate at high temperature (typically in the range of 600 to 850 °C), offer the highest efficiency among different electrolysis technologies
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation
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attention will be given to developing robust electromechanical, sensing, and control solutions capable of operating safely in electrically harsh environments, as part of the Robots4Green EUDP project
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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century across three research themes: AI in Fashion Design AI in Textile & Apparel Quality Control AI in Ergonomic Design The RCA will lead three projects across these themes, working with researchers from
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Apparel Quality Control AI in Ergonomic Design The RCA leads three projects across these programmes, bringing together interdisciplinary teams and industry partners to develop innovations with real-world
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active