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workshops.The PhD students will focus on using state-of-the-art computational and statistical techniques to shed light on the fundamental mechanisms of decision-making.We are particularly interested in candidates
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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power generation companies—to develop robust methodologies for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly
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for investigating failure mechanisms in CFRP sleeves. Your contribution will help prevent catastrophic magnet detachment and significantly enhance system reliability and safety, aligning with the UK’s NetZero targets
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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spaces and habits for them. This is a highly interdisciplinary project that combines computational modelling and behavioural science. The first part will be based on the use of state-of-the-art
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mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded into their structure. However, we don’t yet know how to design these complex
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to deepen our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars-regenerative medicine, biomaterial
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sequencing, bulk and single-cell RNA-seq. These methodologies will be refined and later applied to Welsh genomic resources (SAIL/AWMGS) to identify patient subgroups, uncover disease-driving mechanisms, and
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded