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Summary Deconditioning refers to the decline in physical and psychological function of the body due to inactivity or bed rest, particularly affecting older adults and those with chronic conditions
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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 Research Context Positioned within Ulster University’s School of Computing, this research theme focuses on the development of secure, transparent, and ethical artificial intelligence
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supplement to manage the signs and symptoms of dry eye disease. Dry eye is a common condition affecting a large proportion of the population. Causes range from hormonal changes, aging, allergies, infections
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Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study
Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD programme will develop and evaluate AI-assisted, pharmacist-led clinical decision-support
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education, inclusion, and crime prevention (Spaaij, 2013; UNICEF, 2019). Yet its outcomes are not automatic: meaningful impact depends on programme design, social context, and active engagement from
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, exploring innovative strategies to enhance outcomes and overcome challenges like long-term adherence. This project will evaluate the impact of promising dietary interventions such as time-restricted eating
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of the gut microbiome, and related inflammatory factors, can contribute to the development of conditions affecting the brain, via the gut-brain axis. Dietary intervention studies have shown improvements in
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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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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses