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UKRI rate). Overview This PhD aims to improve risk assessment and mitigation of high-impact and damaging weather events by developing catastrophe model methods, and adjustment factors to address current
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the adoption of lightweight, low-carbon structural systems, ensuring these buildings remain habitable under everyday use becomes a critical resilience challenge. Current vibration serviceability criteria
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technologies (such as electric vehicles and heat pumps) in Low Voltage (LV) networks. PEDs include Soft Open Points, Static Compensators (STATCOMs), and Smart Transformers (STs), which have been trialled and
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks