136 computer-security "https:" "https:" "https:" "https:" "UCL" positions at Ulster University
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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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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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, 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
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that they have lived in the EEA, Switzerland, the UK or Gibraltar 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
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the EEA, Switzerland, the UK or Gibraltar 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
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. It aligns with the Programme for Government 2024–2027 and positions the region as a leader in equitable, multilingual governance. The project’s outcomes—evidence-based policy recommendations
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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 full-time basis for more than one year (or part
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, and high-field NMR, using Ulster’s state-of-the-art facilities and Northern Ireland’s High-Performance Computing (NI-HPC) resources. You will gain skills in: Generative AI for structure prediction
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to accelerate the growth of existing neoplastic lesions (Mason 2009). These complexities highlight the need for sophisticated interdisciplinary approaches. This research programme will integrate artificial