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candidate will work on modelling, analysis, and optimization of circular agri-food supply chains in the UK with a broader emphasis on identifying data-driven and practical solutions to minimize food waste and
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developed in our labs show great promise in reducing infections and controlling host response in the clinic. We recently added the use of micro topography to provide a synergistic stimulus to tackle
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code for experiment control, data acquisition, and data analysis. They will be expected to work effectively with Dr. Smith, collaborators, other group members and contribute to the dissemination
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initiatives Travel opportunities to visit international partners and attend conferences What you should have: A good first degree (BEng/BSc with 1st or 2.1) in Robotics, Mechatronics, Control, Mechanical
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://research.nottingham.edu.cn/en/persons/jie-yu About the Project. This research project aims to explore innovative strategies for green supply chain management and carbon footprint optimization in the context of dual carbon
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing
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About the Role An exciting opportunity has arisen for a Research Associate / Fellow to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University
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a core member of a team researching power electronic converter design, control, construction and testing of power electronic converters in high power applications. The role will be responsible
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This is an exciting opportunity for an ambitious and talented researcher to join the Power Electronics, Machines and Control (PEMC) Research Institute at the University of Nottingham and become a
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techniques to big data, for example, cohort and nested case control studies. You will plan and conduct research using approaches or methodologies and techniques appropriate to the type of research. You will