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of experience with research on fish diseases, and a large international network. The section is the National reference laboratory on fish, crustacean and mollusc diseases, and EU reference laboratory on fish- and
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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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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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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