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The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
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will publish high-quality research papers and present their work at international conferences to build global networks with leaders in academia and industry. We invite students interested in joining
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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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integrated with human expertise, leading to enhanced system performance and sustainability. The project aims to create a foundation for systems that can evolve autonomously while benefiting from continuous
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
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sponsors to deliver the outputs and will have access to a bespoke training programme. Per- and polyfluoroalkyl substances (PFAS), also known as “Forever Chemicals”, are micropollutants of increasing concern
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and Computational Social Science approaches to entrepreneurship, sustainability and achieving the SDGs Technology in Management/HRM/Supply Chains Operations Research and Computational approaches in
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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connect with nature. Their configuration, connectivity and interaction with surrounding land cover determine the extent to which they buffer heat, dilute pollution, support biodiversity and deliver social