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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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modelling, with a strong grasp of at least one open-source programming language (Python, R, JavaScript, C++). High level of efficiency and good attention to detail in commenting code and using team-based
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