81 computer-security-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Ulster University
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for metabolic disorders such as diabetes and obesity. However, their efficacy and safety in humans remains unexplored. This PhD programme will seek to take the first critical step towards clinical translation
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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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Summary This project is part of the NILab Programme . Milk production is a key indicator of profitability and animal health in dairy farming. It reflects the cow’s physiological status and responds
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to community safety and cohesion in a society still shaped by its conflict legacy. Sport, as a widely accessible and culturally significant practice, offers one such arena. It is often promoted as a tool for
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will provide a fuller picture of how gyms matter in Belfast. It will generate fresh insight into their contribution to wellbeing, resilience and community safety. The research aligns with the Northern
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of stability, safety and echogenicity. The specific objectives are: Investigate a range of lipid formulation / gas combinations to generate a lead formulation with comparable performance characteristics
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actionable pharmacogene, which could improve prescribing efficacy and safety [1]. Pharmacogenomic-guided (PGx) prescribing may reduce ADE risk by 30% [2]. Aims This PhD project will address knowledge gaps in
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supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB) involving a range of partner organisations. NWCAM2 is an initiative seeking to help small and medium sized enterprises
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. The proposed PhD is a partnership with Age NI. Age NI have led two important online programmes recently. The Good Vibrations programme was a men’s health programme aimed specifically at men aged 50 and over. It
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vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a