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the context of complex geological conditions. Collect and synthesize data from Norwegian and international LUS case studies, including hydropower tunnels, sports caverns, and repurposed mines. Utilize digital
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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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systems such as fuel cells and batteries. Intelligent control and management systems will be designed to enhance efficiency, sustainability, and seamless integration. Developed models and strategies will be
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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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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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-intensive products composed of numerous parts, and is vulnerable to unexpected events. Smart technologies can collect, analyze, and represent data from various sources, significantly enhancing the visibility
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that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive
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20th June 2025 Languages English English English We are looking for a PhD Candidate in Integrated Intelligent Monitoring Systems for Water Quality Dynamics in Fjords Apply for this job See
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/latest-news/2020/new-research-and-innovation-center-to-provide-climate-friendly-value-creation-on-the-norwegian-continental-shelf/ Cement is the traditional material used in the well construction phase and
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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