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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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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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, despite the growth in low-energy and high-performance building standards, there remains a persistent performance gap—the difference between modelled and actual energy performance and thermal comfort
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Computational Biology communities. The PhD researcher will gain training in: AI and ML Computational modelling of behaviour and brain function High-performance computing Applied mathematics and statistics
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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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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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, mitigates the impact of climate variability, and enables year-round production of high-quality crops. However, the energy-intensive nature of vertical farming, particularly its reliance on artificial lighting
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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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options. Adsorption is a promising approach for removing algal contaminants with activated carbon widely recognized for its high adsorption capacity and adaptability in treatment systems. However, the