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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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at the intersection of formal ontology, information modelling, and artificial intelligence. The postdoc will contribute to both the theoretical and applied dimensions of the IMF initiative and is expected
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Project: The project is part of the research project AI STORIES: Narrative Archetypes for Artificial Intelligence and should result in a PhD in either Digital Culture, Comparative Literature or Nordic
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, Artificial Intelligence/Machine Learning, Materials Science, Systems Engineering, and Sustainability Strong computational and programming skills An innovative, solution-oriented mindset and the ability to work
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learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of
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of 75 % PhD Research Fellow and 25 % teaching duties. About the PhD-project “Transformative AI for Railway Systems” (TransAIRail) project combines Power Engineering and Artificial Intelligence (AI
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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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-scale assessment data, meta-analyses of meta-analyses) Methods and approaches to cumulative, living, and community-augmented meta-analyses Methods and approaches to include machine learning and artificial