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A fully funded PhD position is available at the University of Groningen, the Netherlands. The PhD project focuses on utilizing control theory, optimization, and learning algorithms to design
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PhD in Intelligent Information & Incentive Design for Cyber-Physical Systems (V24.0341) « Back to the overview Job description A fully funded PhD position is available at the University of Groningen
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Join the frontier of innovation in 6G: the future of mobile network technology! TU Delft’s Microwave Sensing, Signals and Systems (MS3) group and TNO’s (Dutch Organization for Applied Scientific
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7546 Job description In the era of smart industry, where advanced technologies and data
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of innovative and efficient production technologies are critical. Thermoplastic composite materials offer an ideal solution for this purpose. A concerted research and innovation effort is underway towards
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to join our research team focused on enhancing plant resilience using cutting-edge data analysis and machine learning techniques. This exciting opportunity will involve designing and integrating biological
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of the user-centred design approach; and an experimental study to test the chatbot intervention. The PhD Candidate will write a paper-based dissertation and strive to publish the results of individual
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biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas
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information might itself be sensitive. This PhD research is executed in the context of the AMdEX project within the Dutch Mobility Innovation ecosystem (the DMI Ecosystem). What are you going to do
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the core, and periphery of the EU. The PhD position is embedded in the research programme Innovation & Organization of FEB’s Research Institute. We offer a truly international environment (our working