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. The study will include a detailed evaluation of geometric and material parameters influencing charging and discharging performance to identify configurations that maximise energy efficiency and heat-transfer
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. This research will explore the multi-step process required to develop and implement heat network policy in Northern Ireland, focusing on the transition from national-level planning to local-level delivery
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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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leading international collaborators. The student will gain valuable knowledge and training in mathematics, machine learning, high-performance computing, and brain sciences. Essential criteria Applicants
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natural fibres and bio-resins, combining renewable materials with advanced processing and computer-aided design/simulation. The research aims to create high-performance, sustainable composites with tailored
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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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, 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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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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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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high powered imaging techniques including confocal, SEM and TEM. Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project