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collaboration, and who have experience in the following areas (with the first being the most important): Semantic web technologies and knowledge graphs (RDF, SPARQL, SHACL, etc.) Large language models (LLMs
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concerning the detection of casewise and cellwise outliers using robust statistical methods. This project is within the thematic field “Robustness in complex data analysis and statistical modelling
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), consists of two main parts. First, the candidate will develop machine learning models aimed at improving the follow-up of neurocognitive function in critically ill children after discharge from the intensive
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