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- for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations, results and breakthroughs. We
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science, nanotechnology, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and
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identification and control, addressing key issues such as persistence of excitation, safe exploration, input design, and connections with direct control methods. Who we are looking forThe following requirements
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-relatedness; derivation of uncertainty bounds; and a rigorous analysis of learning rates. Who we are looking forThe following requirements are mandatory: To qualify as a Doctoral student, you must have a
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safety-critical contexts, misunderstandings can have serious consequences. This PhD project addresses this challenge. You will develop a novel, universal framework for robot communication that is both
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Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models and to apply the development on the Arctic Weather Satellite and Sterna
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. We work on valorization of side streams boths from industry and agriculture for example producing textile fibers from grass and develop resource- and energy-efficient processes for example for CO2
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system employs operational (e.g., noise measurement data) and safety related sensor data (e.g., switch locking data) for management of train operations. There are European plans to increase the scope and
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-breaking research with the aim of developing new perovskite oxide materials for energy conversion and chemical processes. The project is multidisciplinary, and you will work together with leading researchers
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dynamic environment. In the rapidly growing area of artificial intelligence (AI), this position is a uniqure chance to develope new, high-impact solutions, while contributing to the theoretical foundations