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roll-out across tenure types. Northern Ireland is the only part of the UK without a retrofit funding programme and this absence of financial incentivisation has created an impasse amongst homeowners
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areas and now wishes to further expand understanding and application of Comprehensive Innovation. This research aligns with the innovation goals in the Programme for Government 2024–2027 and the Minister
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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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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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cross border project supported by PEACEPLUS, a programme managed by the Special EU Programmes Body involving a range of partner organisations. NWCAM2, led by Catalyst, is an initiative that builds on a
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, computational fluid dynamics (CFD) models, are used to aid fire safety design, but they are often computationally intensive and time-consuming, hindering reliable fire safety assessments. Artificial intelligence
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preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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Particle Imaging Velocimetry. Knowledge of computational fluid dynamics will be desirable. The work will also involve techno-economic analysis to determine their financial viability and sustainability will
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for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R