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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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Imperial College London Department of Mechanical Engineering PhD Studentship in Biomechanics: Improving the Performance of Total Knee Replacements Applications are invited for a research studentship
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– such as tandem neural networks , video diffusion models , and reinforcement learning – will be explored to efficiently navigate these high-dimensional, nonlinear design spaces. To achieve robust property
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable
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international travel to collaborate and train partner laboratories, and the post will include contribution to special pilots such as aircraft/airport wastewater surveillance for arboviruses. The role is central
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, innovative research and our research students are a key part of this. We are seeking to make a substantial investment in up to 15 new PhD studentships enrolling in late September 2026. These include targeted
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for 3.5 years (full-time) or 7 years (part-time) Full tuition fees covered, including international fees Annual stipend (UKRI rate: £22,780 (including LWA) full time for 2025/26) Research training and
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to join our team with a background in bio-instrumentation, electronics and biosensor (or similar). You will be part of a new and exciting project funded by the Gates Foundation. This project aims
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– expertise in digital humanities and AI London South Bank University – strengths in media production and community engagement Guildhall School of Music & Drama – world-leading performance and creative practice