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(DT) communication protocols for interfacing with different types of systems and data sources. Using the DR research to create guidelines for the development of the ontological structure for the DT
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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abrasive slurries. The applicant will have obtained or be close to obtaining a PhD or have some years of relevant industrial experience in Chemical Engineering, Colloid Science, Mechanical Engineering
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for a Doctoral Researcher in
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for success: A PhD awarded in a relevant discipline e.g. social sciences, history, science and technology studies, anthropology, or other discipline with a strong background in conducting qualitative research
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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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