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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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related. Experience of code development in a major programming language (such as C, C++ or Java) is essential. Experience of phylogenetics software development, use of high-performance computing
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to map the physiological processing of cone photoreceptors to the linguistic categorisation of colours onto a series of mechanistic stages. The PDRA is expected to be the first author on at least two
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on before it becomes widespread within a population. The successful applicant will develop a Large Language Model (LLM)-based tool for predicting mutations causing resistance trained on features derived from