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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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