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for offshore wind at Norwegian yards: Efficient operations through digital twins and artificial intelligence”. The candidate will be part of the Production Management research group at NTNU’s Department
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, UiO) and one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Work and/or research experience in machine learning, artificial intelligence, cable technology and/or
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games, disruptive communication, deliberative polling and artificial intelligence contribute to extend the space of imaginable sustainable energy policy pathways for societal stakeholders? How can such
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The Trustworthy Green IoT Software (GIoT) research group advances tools and methodologies for creating intelligent, trustworthy (secure, privacy-preserving, and safe), and sustainable software systems that operate
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Intelligence, IoT, 5G/6G, or AI cybersecurity cross disciplinary research experience between the fields mentioned above and other emerging technologies, such as AI educational pedagogical competence in
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or publication in one or several of the following areas: Networking, Mobile network security, Threat Intelligence, IoT, 5G/6G, or AI cybersecurity cross disciplinary research experience between the fields
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expected to be in the upper segment of their class with respect to academic credentials. Qualification requirements: Master’s degree or equivalent in cybernetics, intelligent systems, automation, or related
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cybernetics, intelligent systems, automation, or related fields. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent oral and written
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or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies, such as generative AI tools, has placed the spotlight on new forms of collaboration