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Loughborough University and D4Drivers The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 15 such partnerships in
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This project is sponsored by Network Rail and is an exciting opportunity to work on the degradation of masonry-lined tunnels, which pose a risk to UK railway infrastructure. This project will: (i) enhance understanding of the degradation processes; (ii) investigate inspection and condition...
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Experienced RAAC asset owners such as Heathrow Airport Limited (HAL) are continually improving and understanding the behaviour of their RAAC. Patterns will only be realised and understood when the whole stock is analysed. Challenges arise during RAAC data capture, such as inconsistencies,...
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multidisciplinary team in a lab where we design, make and test materials and structures. This PhD will expose the successful candidate to a myriad of news techniques and much sought-after skills demanded by Industry
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stable isotope methods to study water balance using deuterium oxide. This studentship is funded by the Leicester Biomedical Research Centre which is a collaboration between Loughborough University
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an excellent opportunity to work with Dr Ahsan Islam’s research group within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community
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their futures. PAR data collection approaches will be developed with the CYP and the PhD researcher; and may include 360 digital technologies (cameras, models, drones and software’s) to communicate and educate
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the Flood-CDT website . Please see this PhD project’s dedicated webpage for more information via the above ‘Apply’ button. Additional Funding Information Studentship type – UKRI through Flood-CDT
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to UK home students. The successful applicant will receive a generous tax-free annual stipend of £26,658 plus payment of their full-time home tuition fees. Due to funding restrictions, this PhD
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different components a forecasting system, e.g. numerical weather predictions and flood dynamics modelling, need to be better understood, quantified and minimised. Methodology The aim of this exciting PhD