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data analytics to health data, mainly from electronic health records. The project focuses on developing and evaluating machine learning models for predicting adverse drug events using both structured
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experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related contexts a
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, informatics, computer science, artificial intelligence, information systems, medical technology, engineering, statistics, machine learning, human–computer interaction, or another field with clear
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