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Innovation Network center SWE-WIN, which aim to advance resilient, robust, and energy-efficient wireless networks capable of supporting emerging services. The research focuses on resource management and
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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of the position. The position offers good opportunities to build a strong international network, develop your own research and contribute to the green transition of the industry. Qualifications
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fragmentation as the mechanisms that reshape the network of conducting contacts. The framework is validated against experimental data from the COMPEL collaboration and delivers a design and operating map
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to solve complex scientific challenges? Do you thrive in an R&D environment where your ideas and the software you write directly impact cutting-edge research? We are seeking postdocs as an HPC
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‑solving with creativity and critical thinking. Personal skills Proficient in complex analytical methods, e.g. transport/energy/health forecasting and simulation models. Has teaching and supervision
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integrity, collaborate with others with multi-disciplinary backgrounds, support PhD students, have a professional approach and analyze and work with complex challenges. Preferred qualifications A doctoral