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suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials
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AI approaches have recently been used to detect Alzheimer’s disease from CFPs among those with established disease (in case-control studies), the use of such approaches to predict disease (i.e., in
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tackling climate change. One of the challenges of constructing a fusion power plant is how to fuel the fusion reaction. The vast majority of planned fusion power plants will use a deuterium-tritium fusion
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awarded on the basis of merit. Students who pay international tuition fees are eligible to apply. However, they should be aware that the award only covers part of the international tuition fee—approximately
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particles that may trigger early ignition. These phenomena can compromise engine safety, performance, and durability. In this project, you will explore how different oil formulations and engine parameters
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. The work will be hosted at Swansea University Medical School and is designed with strong patient and public involvement and aims to directly influence clinical practice through accessible tools and knowledge
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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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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. For eligible students the studentship will cover Home or International tuition fees plus an annual tax-free stipend of at least £19,237 for 3.5 years full-time, or pro rata for part-time study. The student
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hydrological outcomes which may feed back to the cryospheric system. So far ecological, hydrological, and cryospheric work has been conducted separately. To address this gap, our project integrates