Sort by
Refine Your Search
-
. Danesi, M. (2024). AI-Generated Cinema. In AI-Generated Popular Culture: A Semiotic Perspective (pp. 45–65). Cham: Palgrave. Hassan, K.A.N., Ewis, K.A., & Kamel, M.H. (2025). The Historical Evolution
-
Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study
Hosp Pharm. Hughes CM & Scott MG. (2005). STEPSelect: development and use in Northern Ireland. Int J Pharm Pract. DfE. (2025). Life & Health Sciences Sectoral Action Plan. DfE. (2025). Software & Cyber
-
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
-
opportunities for training and professional development. Through this work, the PhD candidate will contribute to next-generation neuromorphic computing. Skills required of the applicant: A background in computer
-
PEACEPLUS-funded PEACETIME project, a cross-border initiative developing an integrated healthcare model for obesity. Findings from this research will provide an evidence base to inform the ongoing development
-
& Health Sciences, contributing to the development of secure, transparent, and trustworthy AI systems that perform reliably even where data is limited. Skills required of the applicant: Applicants should
-
Association, 66(2), 96–115. Monahan, F., O'Connor Bones, U., Taggart, L, McDowell, C. & Mulhall, P. (2025) Supporting children with dyslexia in primary school settings through effective professional development
-
to guide the development of qualitative research with men involved in Age NI’s health programmes. Finally, a survey of older men will seek to understand how older men use online resources to access health
-
, self-management, and sustained lifestyle change. This PhD will not focus on software development itself, but on the co-creation of content and behavioural frameworks to inform a future connected health
-
and chosen partner therapies (PDT, SDT and radiotherapy). To establish a range of cell type identification and key signalling markers that can be used to identify cell type evolution/fate and signal