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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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Students Dr Marco Colombo Application Deadline: 30 December 2025 Details Are you ready to shape the next generation of high-performance engineering systems? Join a cutting-edge, fully-funded PhD project
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on a Computing, Built Environment or Engineering PhD research programme. BCU for your doctoral studies BCU is a dynamic, anchor university with a powerful civic mission, dedicated to addressing real
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. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will run the project
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You will lead the qualitative work to understand how individuals experienced the intervention and app how it worked. This will directly impact the design and refinement of the intervention, and so
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project, which encompasses 4-6 PhD studentships across 5 research groups, you will be an integral part of a dynamic doctoral cohort. This unique opportunity provides the successful candidate with the chance
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to accelerate the development of net-zero hydrogen combustors. This project will use state of the art CFD techniques, offering potential benefits to industry and will contribute to the progress of science in
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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Salary: Research Assistant: £33,002 - £34,610 per annum Research Associate: £35,608 - £46,049 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous
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students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both