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and T cells as a salvage therapy for infections and immunodysregulation. We aim to build correction technologies that fit to a wide spectrum of mutations in diverse genes, as opposed to focusing on a
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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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. 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
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participate in the planning and running of experiments and be in charge of analyzing data from experiments, as well as performing modeling work of the phenomenon. The candidate will collaborate closely with
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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