107 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Aalborg University
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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experimental and suited for candidates who enjoy hands-on research, learning new techniques, and working across disciplinary boundaries. Your competencies We seek a highly motivated candidate with a strong
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The Department of Culture and Communication at Aalborg University’s Copenhagen campus is looking for a postdoctoral researcher in the field of Science and Technology Studies (STS). The position is
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Professor at Aalborg University (profile: https://vbn.aau.dk/da/persons/jajh/ )The project team consists of the principal investigator, two postdoctoral researchers, and a research assistant working closely
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive to offer students a solid analytical foundation in
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
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and Distributed 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
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power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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research activities and to Aalborg University’s long-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive