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Field
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, and advanced process control , in collaboration with industry and academic partners. About the Role: The successful candidate will conduct independent and collaborative research focused on emerging
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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Are you a researcher looking for your first challenge? Do you have a background in smart grid operation and control? Do you want to further your career in one of the UK’s leading research-intensive
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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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mapping to join our team developing decision support systems for improved schistosomiasis control during water infrastructure projects. About the Role Schistosomiasis often spreads in areas with water
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modelling and spatial mapping approaches to join our team of academics working on decision support systems to improve schistosomiasis preparedness and control during development of water management
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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spatial mapping approaches to join our team of academics working on decision support systems to improve schistosomiasis preparedness and control during development of water management infrastructure. We
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Intelligent Robotics. The successful candidate will engage in pioneering research in the areas of robotic manipulator control, human-robot interaction (HRI), AI-driven decision-making, and manufacturing