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supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated electrification and increased use of the existing grid
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philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection
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Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
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Intelligence (AI) as co-workers in organizational contexts. This innovative research will investigate how humans engage with AI technologies, aiming to develop frameworks and guidelines that promote trust
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will be conducted within the Machine Learning Research Group at the Department of Computer Science and Communication, in collaboration with Østfold Hospital Trust, and will focus on developing novel
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Engineering. The timber structures group at NTNU has had a great development over the last years. The research interests of the group are focused on development of structural concepts for mid-rise timber
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on developing an advanced, AI-integrated methodology for the design of Large Underground Structures (LUS), addressing the limitations of traditional empirical approaches. These structures are critical to sectors
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agreement secured the financing of eight PhD positions. The financing of the positions aims to strengthen research-based education, enhanced competences, and regional as well as national development. Molde
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Nordic countries such as Norway, where climate projections indicate more intense rainfall and wetter conditions in many cities. There is a pressing need to develop adaptive, robust, and resilient solutions
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assaulting them. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First