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the rich, unstructured information found in clinical notes and cannot effectively gather data on lifestyle and social determinants of health. This PhD project will pioneer a novel, hybrid AI framework
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rigidity to penetrate without damaging tissue and stability against peristalsis. The device will also include onboard electronics for wireless data transfer to an external receiver. The device will be tested
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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Intermittent streams (c. 50% of world rivers) and headwaters (c. 90% of rivers) are key riverine systems for hydrology, ecology and water quality, which are poorly monitored and lack data (Dugdale
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temperatures, with the former strongly correlated with surface ocean salinity. The project will build on existing post-expedition sample processing and pilot analyses. For further information on this project and
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the UK’s transition to a cleaner, healthier future. For further information on this project and details of how to apply, please click on the 'Apply' button above. Further information on how to apply for a
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, offering transferable insights for other regions. The work will expand globally to assess broader implications. For further information on this project and details of how to apply, please click on the 'Apply
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, migration, invasion, and genetic instability. Although PBF’s primary function remains unclear, our recent data reveal a physiological role in cell adhesion and motility. Tyrosine phosphorylation is a key
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peristalsis throughout the intestine. The outcome will address a clear clinical need by providing sensitive, localized motility data to improve diagnosis of neuromechanical GI disorders. The sensor will rely
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plastic use by nesting birds globally using image archives such as YouTube, Google Images etc. and relate it to land-use (e.g. urbanisation), pollution etc. For further information on this project and