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conducted in close collaboration with the Heart Centre, Pediatric Clinic, and Centre for Cardiovascular Genetics, the project enables deep phenotyping and genotyping in a clinically meaningful context. Our
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise
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learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research in data-driven epidemiology and biology of infection within the MIMS