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need. The availability of such diagnostic would translate into improved patient care and reduced HNS costs. A small number of specialized US medical imaging systems can detect the viscoelasticity of body
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rework, waste, and delays. This project tackles that challenge by developing camera-based process monitoring system that observes the weld in real time, detects and predicts anomalies as they emerge, and
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approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
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be affected by food processing (Ferrara et al., 2025) as too the levels of free amino acids such a glutamate in processed foods (Hermanussen et al 2012). A relatively large portion of the plant-based
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BookTrust. (2025). Reading for a brighter future: BookTrust’s strategy 2025–2030. https://files.booktrust.org.uk/docs/documents/BookTrust-Strategy-2025-2030.pdf?v=1758034310 Cahoon, A., Gilmore, C
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clinicians’ administrative burden by developing intelligent natural language processing (NLP) systems that can autonomously complete medical forms. The research will design “agentic” NLP models capable
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of diverse biomedical datasets - including genomics, transcriptomics, proteomics, and digital pathology images. The student will work across academic and industry partnerships to investigate how data platforms
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, the student will apply drone imaging, AI analytics, and simulation tools to support more sustainable and circular agriculture. They will collaborate with farmers, engineers, and policy experts to create
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, strong, and suitable for medical use. Once produced, the stents will be tested for their integrity. By combining medical imaging, advanced computer modelling, and modern manufacturing, this research will
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self-contained unit of the Northern Centre for Food Innovation and Health (NICHE) with technical staff, academic staff, post-docs and PhD researchers working in close proximity to their desk/office space