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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 models and observations
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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
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, and entrepreneurship. Doctoral Candidates will gain transferable skills and learn from industry role models, equipping them to make significant contributions to solving the AMR crisis. The succsesssful
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organismal level. Using salmon as the model, the studies will employ primary cells and established cell lines to uncover the functional potential of algal compounds. This will be achieved through in-depth
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leader will be the Head of Department. About the project Modern control systems rely on being at least partially predictive while digital twins also must maintain a state model of the targeted cyber
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other are developing regulations that provides both incentives and constraints for the energy transition and emission reduction. The research objective of the PhD is to develop models that captures
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energy systems. The work will build upon theoretical and simulation-based models developed at NTNU and MIT. As different carbon-free energy carriers are expected to be highly connected in the future
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have a strong background in marine hydrodynamics or applied mathematics, as the study will involve mathematical modelling and taking demanding PhD courses. Both potential flow theory and CFD will be
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. Special focus will be devoted to the interpretability of the predictions and to the use of physical models in combination with machine learning techniques. You will work alongside other highly motivated and
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, compared with state-of-the-art rule-based methods as baselines. Design of control barrier functions (CBFs) considered for safeguarding control setpoints. Dynamic programming and model-predictive control