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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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improves the performance of ROMs, making them more applicable to real-time structural health monitoring, vibration analysis, and control design. This research offers real-world impact across several
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the technology, hence there is a drive from the industry to address this. To answer this question requires an interdisciplinarity approach, combining Industry input alongside physical sciences and physiological
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PhD Project: Advanced 3D/4D-Printing of Responsive Biomaterial Devices Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre
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Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM). The student will work in
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). The management of search and rescue organisations of casualties with cervical spine injuries has recently developed from the goal of total immobilization to the concept of selective motion control. Vacuum
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spoken communication skills The following skills are desirable but not essential: Background in control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous
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will work on the design, development, and testing of integrated systems that may include laser generation and stabilisation, RF control, PID systems, and embedded electronics. The work aims to improve