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methodological disciplines, as well as a substantial part of the teaching in the medical degree programme. While firmly rooted in our respective disciplines, we actively foster interdisciplinary collaboration
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for teaching within public health, sport science, health science, nursing science, and related methodological disciplines, as well as a substantial part of the teaching in the medical degree programme. While
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models. However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In
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candidate is expected to work closely with Professor Rubina Raja, on several tasks, including: supporting large research/publication projects (including copyediting and indexing) carrying out data collection
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, you will be affiliated with a research and development project on the use of agentic AI companions in Business Intelligence courses at Aarhus BSS. The project develops, tests, and evaluates AI-based
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to collaborate across research groups and career stages, contribute to shared research and teaching activities, and develop an independent academic profile. As a member of the section, you will be part of both a
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project is part of the research project ‘Crystallization of Rare Earth Element Minerals’, which is led by Curator of Petrology Kristoffer Szilas, and financed by Independent Research Fund Denmark. Start
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health sciences come together to improve people's lives. As a PhD fellow at HST, you will become part of an international research community with access to experienced supervisors, modern research
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people, ~250 PhD students and postdocs and around 350 students. Expected start date The starting dates are expected to be January 1, 2027. Place of work and area of employment The place of work is
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of Work The place of employment is Aarhus University, and the place of work is the Department of Electrical and Computer Engineering, Finlandsgade 22, 8200 Aarhus N, Denmark. Further information