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Summary Research has a high carbon footprint and hence a sustainable approach has become a necessity (UKRI, 2026) .Thus far the approach has been to deal with the low hanging fruit such as waste
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welcome. The research will be conducted at the HySAFER Centre using contemporary ANSYS software and the state-of-the-art high-performance computing facilities of Kelvin-2 in Northern Ireland. The results
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Summary Positioned within Ulster University’s AI Research Centre (AIRC) in the School of Computing, this research theme focuses on advancing artificial intelligence for environmental sustainability
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specifically on the microbiology laboratories in Ulster University. These laboratories have been identified for inclusion in this research as they can produce high volumes of waste due through single-use testing
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difficult to interpret and require vast amounts of data to perform well. This PhD will investigate how AI can become more adaptable, efficient, and understandable by integrating people directly into the
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record in astrocyte-neuron interaction modelling, published in Frontiers in Computational Neuroscience, PLoS Computational Biology, Neurocomputing, and IEEE Transactions on Neural Systems and
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the country’s net zero solutions and deliver substantial economic benefits. Recent advances in geothermal energy include integrating closed-loop ground source heat pump systems into civil engineering
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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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Summary This PhD project will develop and validate an ultrasound-based system for real-time monitoring of bone temperature and insertion forces during orthopaedic implant procedures. Excessive heat
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energy. A good understanding of the physics of air flow and heat transfer is required for this project. An understanding of thermal comfort is desirable. The work will involve experimental analysis using