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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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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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potential for innovation in the cross section between hydraulic modelling and use of artificial intelligence. This potential will be investigated in this PhD study. The work will be carried out in close
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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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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation