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from the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing
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Chemistry or a related degree. A good knowledge and/or experience in chemical experimental techniques is essential, as is the ability to work well in a team. Prior experience in the areas of computational
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, or similar. Organisation and excellent attention to detail. Excellent written and oral communication skills. Ability to work independently and problem solve. Good communication skills to effectively work with
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energy innovation—apply now and power the future of hydrogen technology! Funding Notes Full 4-year Funding for UK applicants: Includes UK-only tuition fees and a stipend at standard EPSRC rates (2025/2026
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working with children in education or non-educational settings. Please clearly state your ability and availability to work in person and travel daily within the Durham area We will notify you on the status
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• You will have experience in experimental design to collect time series data • Evidence of being able to conduct research in the area of medical data analysis or modelling • Demonstrable ability
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collaboration with Cummins, a global leader in power technologies, you will contribute to the development of new generations of high-performance components for automotive and energy applications. This research
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for the academic year 2025/26. Specific requirements of the candidate Essential A first degree of 2:1 or higher in sport sociology, sport development, sport management etc. Ability to critique and analyse social
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-criticality control architectures will allow almost unlimited off-board computational power to be used to optimise operational decision-making in near to real-time. Safety will remain paramount. New tools and
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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical