13 coastal-area-modeling PhD positions at NTNU Norwegian University of Science and Technology
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predictable, complementary renewable source, particularly relevant for coastal nations like Norway. However, the hydrodynamic environment is complex: non-uniform inflows, wave–current interactions, and limited
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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties of the position Complete the doctoral education until obtaining a
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technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine
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. After the appointment you must assume that there may be changes in the area of work. Required selection criteria You must have completed a PhD degree (or equivalent) within electrical engineering. If you
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks
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on childhood dementia CLN3, as part of ongoing research in the Bjørås group . About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease
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and/or research experience in one or several of the following areas: methods and models related to power system protection and control or real-time systems and power system automation studies
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are affiliated with the discipline of psychology within the PhD programme in Social Sciences at the Faculty of Social and Educational Sciences. The position is an open call within the field of psychology. Before
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software