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with researchers and practitioners through the aiD network and related national initiatives. Contribute to the scientific development and collaborative activities of the Data Science research group
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leading acoustics environment, and of Connection , an interdisciplinary research group under NTNU's strategic research area NTNU Community, joining an international network of researchers working
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productive academic team with a strong international network covering radiochemistry, radioecology, environmental chemistry, nuclear waste management and environmental modelling. The successful candidate will
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://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and productive academic team with a strong international network covering radiochemistry, radioecology, environmental chemistry
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on AI-empowered asset management using drone inspections and available asset management historical data. The aim is to enhance the asset and network resilience of ports by training an AI model on ferry
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the fighting impacts the organizational structure of the belligerents. WOW will theorize, identify, classify, and code the characteristics of state military organizations and non-state armed groups and collect
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nested grids and adaptive mesh refinement. Accurate wind simulation at multiple scales helps in better predicting energy production and reducing operational risks. Some relevant key words (see FME
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environment, with access to an international network and regular research seminars featuring renowned scholars. As a PhD candidate, you will: be admitted to the PhD programme in Business with the aim
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh