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the end, in the wellbeing of our planet. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most
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production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing a comprehensive multi-perspectives analysis approach, essential to track
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oxygenates production. In this project, we particularly aim green methanol production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing
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fundamental research to important applications. We educate future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society
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potential. Our research focuses on Materials physics; Quantum technology; Soft & living matter; and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate
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of TML. You are expected to: Carry out state-of-the-art research. Prepare and publish manuscripts at leading conferences and journals. Present your work at academic and industry events. Collaborate with
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees