153 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Denmark
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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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of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our disposal. The department has overall responsibility for the Master's degree programs in
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education programme at AAU’s Copenhagen campus and spans a broad range of computer science research. The two positions in this call will strengthen the section’s profiles in Probabilistic and Symbolic AI
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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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Data-driven Organizational Development, Master of IT and/or related programs that examine contemporary technological opportunities, challenges and concerns by means of SSH theory and methodology
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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in
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. Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus
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computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus University is engaged in research programs and advisory work covering the major biological sub-disciplines. We conduct
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of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted, Center for Clinical