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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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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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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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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