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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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cryoprotective agents (CPAs). Overcoming these challenges is a major unmet need in biomedicine. This interdisciplinary PhD project aims to develop AI-driven approaches to discover safer and more effective CPAs by
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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