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, is strongly associated with physical activity levels, and is a cause of significant disability. PhD description: To address this we have a large cohort study running. We are looking for a dynamic
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus
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happens when these two ideas are unified under a single energy-aware framework. This PhD will develop principled methods for jointly optimising which data and which weights are updated during training
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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, is needed. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings for electric vehicle traction and aerospace propulsion, featuring improved
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and Background An exciting opportunity is available for a talented and motivated PhD candidate to pursue research on production of sustainable materials for road construction binders from renewable
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A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
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Tricia McKeever, School of Medicine, Professor - Tricia.Mckeever@nottingham.ac.uk Funded by the University of Nottingham through one of its PhD Studentship Awards, this fully funded (stipend at UKRI rates
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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Tricia McKeever, School of Medicine, Professor - Tricia.Mckeever@nottingham.ac.uk Funded by the University of Nottingham through one of its PhD Studentship Awards, this fully funded (stipend at UKRI rates