81 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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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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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green
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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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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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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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Summary This project is part of the NILab Programme . Milk production is a key indicator of profitability and animal health in dairy farming. It reflects the cow’s physiological status and responds
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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
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. The project will examine how heat demand mapping, technology and cost assessments, and zoning mechanisms can be used to identify areas where heat networks are the most cost-effective solution. It will also
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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