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Field
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Outreach , Plasma Physics , QCD , Quantum chaos and thermalization , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum Control , Quantum Devices and Sensing , Quantum
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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, neuroscientists and clinicians in a highly interdisciplinary environment. You will apply computational and machine learning approaches to control theory problems, implement real-time digital signal processing
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Fellow will join the Particle, Astroparticle and Cosmology Theory Group at the University of Stavanger, which conducts research in the following areas: QCD at high density and temperature Gravitational
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. Expected Work: The selected candidate will conduct research at the intersection of wireless communications, signal processing, and control theory, aiming to develop cutting-edge algorithms for joint
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over the decades, existing thermodynamic models and theories still face significant challenges, particularly when dealing water and electrolyte solutions. To harness these challenges as opportunities
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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PhD Studentship: Reliability and sustainability of packaging for cryogenic power electronics This exciting PhD opportunity is jointly hosted by the Power Electronics, Machines and Control (PEMC
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This project will develop and apply spin-polarised scanning probe microscopy to image, understand, and control magnetic order at the atomic scale in unconventional magnetic materials. Using
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NOMATEC project will involve a close collaboration between the theory group at NMBU and experimental and computational partners at the SINTEF research institute. The candidate will benefit from a strong