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Governance unit, and explore issues that investigate and address whether and how AI technologies challenge traditional legal concepts, principles and theory. Examples include legal questions concerning
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for research-based AI Innovation hosted at NTNU in Trondheim, Norway. Research areas cover competences that the Norwegian industry needs to develop cutting-edge theories, methods and technology, for
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technologies to support design and development of game-based learning. Short cover/motivation letter (400 words/1 page). Publications and any other work that the applicant wishes to be taken into account should
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short essay (ca. 1000 words) describing their view of the main research challenges in utilizing AI technologies to support design and development of game-based learning. Short cover/motivation letter (400
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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writing, and proposal authorship is an advantage. Great motivation for research and innovation work, interest in the topic, and good knowledge of relevant theory and methods are a must. We are seeking
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to develop cutting-edge theories, methods and technology, for efficient, effective and responsible exploitation of data-driven AI in industrial solutions. Currently the center concentrates their activities
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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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engineering and information technology, protection automation and control theory studies. The PhD candidate will address new protection, control, and automation concepts development, understanding important