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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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research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a
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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
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experimental research facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional
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experimental research facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and