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applications we also need to know the cross sections at different temperatures and, thus, we need to properly account for the thermal motion of the target nuclei. Due to these issues, we need to develop a
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opportunity to develop autonomous microswimmers, which are bioinspired structures at the micrometre scale that can propel themselves through fluids, mimicking natural swimming organisms such as bacteria forms
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to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect damage identification system, leveraging data collected on instrumented railway
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need to meet the minimum entry requirements for our PhD programme . Candidate profile A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics
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requirements for our PhD programme. Essential criteria: A First Class undergraduate degree or MSc with Distinction (or equivalent overseas qualification) in mathematics, computer science, physics or engineering