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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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strong quantitative component. Ability to programme in a suitable language, such as R (preferred), Python, C/C++ or Visual Basic is essential. Further particulars are included in the job description. The
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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
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