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across conditions and integrate phenotypic readouts with functional omics to identify the processes underlying key performance changes. You will work closely with a postdoc evolving these consortia and
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collected in Denmark. The project is led by Associate Professor Kim Andersen and includes Associate Professor Lene Heiselberg, Professor David Nicolas Hopmann, a postdoc, and the PhD student. The PhD student
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thereafter. The PhD project will focus on developing and testing AI-assisted computational workflows for predictions of both ground- and excited-state material properties, with applications spanning
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, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
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administrators, and currently consists of seven research groups led by the individual PIs in close synergy. The Center hosts in total approximately 20 PhD students, postdocs, and visiting scientists. Several
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Professors, a Lab Manager, two administrators, and approximately 10–15 PhD students, postdocs, and visiting scientists. Several POLIMA researchers have attracted prestigious grants, e.g., Villum and Novo