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: “Intelligent nanoparticulate formulation for the development of new antibiotics,” in which we seek to examine whether the use of artificial intelligence can be a tool for the rational design of nanoparticulate
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: Artificial Intelligence – The candidate will contribute to the AI field by researching how different AI solutions coexist with humans in an organizational context and what should be considered in the design of
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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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candidate will also have access to the faculty’s advanced resources in water and environmental engineering, as well as expertise in artificial intelligence. In addition, they may benefit from the Department
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or Engineering geology, Geotechnical engineering, Structural or civil engineering (Specialized in underground construction), Computational engineering or applied mathematics, Data science or Artificial
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your
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explore how students and teachers interact with artificial intelligence (AI). The position focuses on identifying opportunities, risks, and challenges emerging from this human-AI symbiosis, and on guiding
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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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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Work and/or research experience in machine learning, artificial intelligence, cable technology and/or
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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