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the offer. The position’s field of research The position is associated with a new research initiative at UiT on intelligent monitoring and resilience of railway and transport infrastructure in Arctic
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ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently
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UiO/Anders Lien 1st August 2026 Languages English English English PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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Research Fellow in Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Multisensory
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mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
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responsible therapeutic use. This position investigates the design of adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to a user's physiological
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of adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to a user's physiological signals (such as muscle activity, movement, or cardiac
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of Norway’s six national AI centres. NCEI brings together leading robotics and AI groups with key partners from across Norway with international collaborators to study how intelligence emerges from
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at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world