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theoretical computer science, and to combine those in new innovative ways. The position will offer you the opportunity to work on important problems with real-world impact and a strong publication potential. As
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"THEORETICAL AND APPLIED NEUROSCIENCE", 42nd cycle . Academic Year 2026-2027, with headquarters at the School of Advanced Studies - International Doctoral School of the University of Camerino. National PhD
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-disciplinary. Faculty members have backgrounds in management, economics, sociology and economic geography. The theoretical foundation for research in these areas is eclectic, combining strategy, innovation, and
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measurement of electronic circuits for radio-frequency applications, operating at units of GHz or above. It requires a high level of theoretical knowledge and practical experience in RF Electronics. Selection
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environment focused on advancing theoretical, methodological and empirical research about digital society. The successful candidate will be affiliated with the Section for Information, Technology, and
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As agile development scales to larger, more complex organizations
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applications. Researchers in the department are on one hand active at a fundamental and theoretical level, and, on the other hand, work on applications with links to business, the sciences, and societal issues
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safety, ecosystem degradation, and declining water quality. Given the growing challenges faced by these environments, there is an urgent need to improve our understanding of the physical, ecological, and
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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reinforcement learning, learning-based adaptation and control, physics-informed machine learning, learning-enhanced model predictive control, control-theoretic safety and stability guarantees for learning-enabled