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. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude research project Tensions in Arctic Infrastructures (in short
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, focusing on communication, co-creation, and the development of inclusive practices in educational and welfare contexts. Practice-oriented and collaborative research methodologies, that support innovation and
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should demonstrate research on emerging technologies for collaborative learning, including areas such as video-based competence development, digital mediation of learning processes, and the use of new
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studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how robots in clinical settings can communicate
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focuses on the development of secure and trustworthy AI for resource-constrained embedded systems used in power electronics and energy infrastructure. The research will investigate how machine learning
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recycling of components, enabling a more circular life cycle. The work will contribute to a new paradigm in the development of power electronics that incorporate disassembly, reuse, and remanufacturing
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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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the Marie Skłodowska-Curie Actions (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https
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Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and education in