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? No Offer Description We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based
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with a rigorous approach to research. Applicants should have, or be expected to gain a high 2:1, preferably a 1st class honours degree in Chemical or Mechanical Engineering or Chemistry or a related
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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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in our laboratory are unique worldwide, enabling the preparation, separation, and study of short-lived intermediates that may occur in gas-phase PMM cycles. Further details are available on our website
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Primary supervisor - Dr Dominic Cram This exciting PhD will examine how parental age and the social environment interact to shape offspring health in a wild mammal, by combining epigenetic
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with an external receiver for real-time monitoring of DA concentrations. Wireless performance will be optimised to ensure stable operation in various test environments, such as DA solutions with complex
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This fully funded 3.5-year PhD position aims to create new molecular tools that establish redox-sensitive binding interactions between small molecules and proteins for applications in biotechnology
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for children with intellectual disability and complex needs. This fully funded PhD will aim to revise this checklist for an adult population, identify implementation opportunities and examine psychometric
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brain decoding methods and test the extent to which these generalise across brain areas and species. You will be working with an interdisciplinary team led by Prof Andrew Jackson funded by the Advanced
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diverse datasets, as well as practices leading to fairer and less biased models. Explainable NLP for users in-the-world Students will be trained in techniques that enable end-users to examine datasets and