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aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is the Department of Biological
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of national and European research projects and enjoys a robust network of academic and industrial partners. This position provides an opportunity to engage with these collaborations and work on real
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regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel
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an open, international team with flexible work organization and support of individual development. The Centre is involved in a variety of national and European projects and features a strong network of