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will be used to train predictive models to inform pro-active network maintenance with the outcomes being reviewed and annually updated. This project offers a unique chance to develop data-driven
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PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources
potential effects on human health. PFAS are frequently detected in various environmental media (including surface water and groundwater) and biological tissues. There is a therefore a need to develop the
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may be appropriate. For spatially uniform, straight river channels, without vegetation, this is around 100x the channel width downstream of the outfall. This project will develop an assessment tool
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or 22nd July 2024 This fully funded project provides an unrivalled opportunity to develop world-class technology for the monitoring of service reservoirs (tanks). The focus will be on the ability to detect
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sensors such as body worn health monitors. This is what this PhD will work towards using cutting-edge materials and technologies. This PhD will develop advanced materials and turn these into thermoelectric
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the UKRI rate (£19,237 for 2024/25). The start date is October 2024. The Robotics for Extreme Environments Group invites applications for a PhD studentship to develop (semi-)autonomous control of manipulator
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GSK using readily available NLP pipelines and subsequent preliminary analyses. After a successful upgrade to PhD student status the successful candidate will use the remaining three years to develop ML
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, this project aims to develop defect engineered manganese-based electrodes with tailorable features for RZAB. Using a combination of diffraction, microscopic and spectroscopic tools, structure-function
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inspection systems. In joining our team, we aim to help students develop their technical and non-technical skills, such as the ability to communicate effectively particularly with industry partners. Funding
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its objectives, the project will 1) develop a robust 3D estimation/reconstruction module to interpret and convert observations like 2D images into 3D pose information, 2) refine this technology to allow