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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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Department of Global Health & Social Medicine is a unique interdisciplinary community of students, teachers and researchers. Together, we explore the complex social determinants of health, illness and ageing
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mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
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