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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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connected research environment at the Department of Engineering Cybernetics, renowned for its leading expertise in optimization, control, and artificial intelligence for cyber-physical systems. Are you
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optimization, control, and artificial intelligence for cyber-physical systems. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will
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years. Your main duties and areas of responsibility This PhD project addresses data analytics and optimization for routing and control of wind-assisted ships and is part of the WINTEGRATE (WIND+INTEGRATE
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» Cybernetics Engineering » Control engineering Engineering » Systems engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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, optimization, control, and AI for cyber-physical systems. The position will be part of the research center Northwind, be closely integrated with the activities of the Norwegian Center on AI for Decision (aiD
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for advanced applications in PET imaging. PET chemistry plays a central role in this endeavor, as the design of radiotracers with optimal in vivo stability, selectivity, and pharmacokinetics is essential
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” approaches and opens opportunities for innovation at the intersection of noise control and renewable energy. As a PhD candidate, you will develop multidisciplinary expertise and connect to researchers and
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of the PhD project is to develop an effective control structure and real-time optimization scheme for a novel continuous bioprocess. The control and real-time optimization will then be validated in experiments
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learning optimization at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity