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Summary Positioned within Ulster University’s School of Computing, this research theme explores the integration of artificial intelligence with quantum technologies to advance next-generation
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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relying on computationally expensive numerical methods. Recent advancements in the application of AI in fire safety has shown its significant potential in improving decision-making, optimizing building
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application, developed through parallel funding. The project sits at the intersection of Life and Health Sciences and Software/Cyber innovation, aligning with Northern Ireland’s strategic goals for Med-Tech
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., ... & McDonough, S. (2024). Post-rehabilitation programme to support upper limb recovery in community-dwelling stroke survivors: a mixed methods cluster-feasibility controlled trial. BMJ open, 14(10), e088301.
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. Methods to be used: This project will employ mainly qualitative methods. Interviews and observational data will be used to gather information from key stakeholders involved in the community support of
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primary and secondary school, and play a key role in engagement with core subjects, e.g. reading and mathematics. Language skills vary widely by age, but can also depend on numerous external factors
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and their carers Methods to be used: This project will employ mainly qualitative methods. Interviews and observational data will be used to gather information from key stakeholders involved in
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if they are engaged, and examine the enablers and barriers that influence their participation in MECC. Methods to be used: Semi-structured interviews will be conducted with a purposive sample of pharmacists from both
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Low-Cost Sustainable Materials to Mitigate the Impact of Taste and Odour Compounds from Algal Blooms
compounds from water. This will involve setting up methods for the analysis of selected taste and odour compounds; characterising the properties of selected low-cost adsorbents (e.g. seaweed, sawdust and