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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by
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Health economic evaluation of community acquired pneumonia in the UK Pneumonia is a common illness that results in over 100,000 hospital admissions per year in the UK. Following hospital treatment
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costs. Condition monitoring (CM) of rolling element bearings, hereafter called bearings, has been the main point of attention for many decades in the industry for maintenance. This is because bearings
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The goal of this project is to evaluate and mitigate technological risks associated with electrolysers to ensure their safe and efficient deployment at an industrial scale. Electrolysers may play
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made. The project will involve using routinely collected healthcare data and/or large healthcare datasets such as the Clinical Practice Research Datalink. This is an excellent opportunity for someone
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Background: Fusion energy promises a step-change in clean power generation, and one of the most critical challenges on the path to commercial fusion is tritium fuel sustainability. To maintain a
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surrogate kernels of Alumina or Zirconia) that is surrounded by four coating layers made of pyrolytic carbon and silicon carbide (SiC). These coatings work together to prevent the release of radioactive
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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Research theme: Textiles How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within