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employment. Required selection criteria You must have a professionally relevant background in Artificial Intelligence, Machine Learning, and Generative AI. Your education must correspond to a five-year
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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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based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has
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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
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specialist candidate Preferred selection criteria Work and/or research experience in machine learning, artificial intelligence, cable technology and/or material science. Experience in building and/or running
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institute provides a transdisciplinary research milieu that work with the recursive relations between modelling, making and applying designs for interaction. Through recent developments in artificial