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This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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by 2050, creating a significant environmental challenge. This research aims to develop a sustainable engineering solution for reusing decommissioned blade in structural engineering. Structural
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make
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The project will work alongside Vishay Intertechnology, which brings together a number of world leaders in power semiconductors and energy conversion to develop solutions for automotive, aerospace
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foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready
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are suitable. The aims of this project are to Review operating characteristics proposed for rare disease trials Develop novel Bayesian operating characteristics for different types of rare disease trials Apply
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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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we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software
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laser diagnostics, analyse the results, prepare presentations, reports and papers, and interact with project partners. The skills, qualifications and experience required to perform the role are very good