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NbS including treatment wetlands (TWs) and sustainable drainage systems (SuDs) at water recycling centres and within individual surface water catchment areas, respectively. These systems offer
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How to apply: uom.link/pgr-apply-2425 This PhD is fully funded; the successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be
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will involve significant interaction with ITP Aero UK and will involve co-supervision with an industrial supervisor and it is also expected that the student will spend some time at the ITP Aero Hucknall
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particularly aligned with HTC Health’s long-standing commitment to evidence-based nutritional solutions for human health and is informed by industry insights into weight management and consumer-driven demand
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug
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for the crosslinking of useful rubber compounds without the need for many currently used toxic additives, e.g. 6PPD. This project is only open to the UK applicants. Due to the confidential and commercially sensitive
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-printed functional devices interact with their environment, responding to stimuli (temperature, light, etc.), and “4D-printed” devices respond over time (e.g. changing shape), controlled by the arrangement
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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University of Exeter Psychology Department is inviting applications for a PhD co-funded by the Eden Dora Trust (EDT) & co-supervised by EDT & a NHS Paediatric Neuropsychology service to start
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast