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time and handle uncertainty. Artificial Intelligence (AI) may be of critical help here. This PhD project aims to develop a hybrid AI framework for quality control in AM-based remanufacturing. You will
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that drive endothelial organ-specification and phenotype, and to use this knowledge to engineer organ-specific ECs. The obtained insights will be used to explore experimental approaches to control
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-supervision from Prof. Anna Wieczorek (Eindhoven University of Technology) and Dr. Christina Bidmon (Utrecht University). As a PhD candidate, you will be embedded in the Department of Organization Studies
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6 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Computer science » Systems design Engineering » Control
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-materials and (physical) learning. Excellent candidates with training in any area of science or engineering will be considered. PhD candidates must meet the requirements for an MSc degree. Good verbal and
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over the course of your PhD. Job requirements A master’s degree in mechanical engineering or a related field. Strong background in systems and control. Interest in building state of art sensitive
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technology Engineering » Chemical engineering Engineering » Process engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Netherlands Application Deadline 17 Oct 2025 - 15
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to demonstrate: Masters degree in science, engineering or economics (must have been awarded by the agreed-upon starting date of the PhD). Strong quantitative and analytical skills. Very good written and spoken
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terms of profits, resource efficiency, and carbon footprint. This PhD position is a part of the LEAP-AI project that will address these challenges in autonomous greenhouse control. The project team
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relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target