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side, you will investigate and develop data-driven methods for optimal and nonlinear control with a particular focus on dual control and on approaches to measurement scheduling and active sensing
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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optimization Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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physicochemical properties of PFAS, thereby supporting environmental risk assessments and optimization of removal technologies. Responsibilities and qualifications The postdoctoral researcher will work on the
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computing can unlock new optimization and control strategies in future power systems. Our projects are conducted in an international and multidisciplinary environment, bringing together expertise from across
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, large datasets, physical modeling, optimization, and safety and security are key factors. Our main showcase is the water sector, where we have designed and built a specialized laboratory focused on
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frameworks to support predictive maintenance assessment of PV plants. Your main responsibilities will include: Developing and optimizing daylight luminescence imaging techniques for field inspection
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to join our team working on next-generation speech enhancement technologies. The project explores innovative approaches that move beyond traditional reference-based methods, leveraging optimal transport and
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models Develop and optimize advanced protocols (e.g., single-cell assays, CRISPR-based screens) Collaborate with an interdisciplinary network of computational biologists, clinicians, and international
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through the EU Research Framework Programme? Horizon Europe (other) Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to work with biorefining