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classical disciplines such as mathematics, astronomy and mechanical engineering as well as interdisciplinary fields, such as artificial intelligence, pharmacy and evolutionary life sciences. Our community is
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based on the candidate’s background, for example, by integrating artificial intelligence (AI) in the analyses. The successful candidate will join a vibrant, interdisciplinary environment with access
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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corporate governance, corporate social responsibility and artificial intelligence approach Alysha Deslippe Doctor of Philosophy in Human Nutrition (PhD) EATing in a GENdered world (EatGen): How teens involved
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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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selection based on academic merit and suitability to the project. Please contact the primary supervisor for more information about these projects. IITK-25023 - Artificial Intelligence-based Anomaly and