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Field
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. We offer a dynamic environment where theory meets real-world application, and where your work can contribute to the development of the next generation of smart energy systems. About us The Division of
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. The applicant should be a creative and motivated researcher with knowledge of one or all of the following: Measurement theory Quantum optics Quantum dynamics Stochastic processes Your profile Strong analytical
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corresponding functional analytic methods is required. Good knowledge of English (written and oral) is required, as well as strong collaborative skills and the ability to work independently. Prior experience with
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polaritonic waveguides and cavities, and will contribute to the theoretical (i.e. analytical) and numerical simulations of the GaN architectures in collaboration with the theory groups in the consortium. In
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical
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-assisted control of large wind turbines. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in practice as well as in theory
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-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Horizon Europe (other) Reference Number 101126560 Is the Job related to staff position within a Research
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
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complex learning systems. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 929-935). About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and