83 Computer-Science-"https:"-"https:"-"https:"-"https:" "https:" positions at Aarhus University
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, physics & astronomy, chemistry, geology, mathematics, computer science, and molecular biology & genetics), a graduate school, and several research centres. In addition, we host interdisciplinary networks
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at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in English
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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The Department of Food Science, Aarhus University, invites applications for a two-year postdoc position in plant physiology and molecular biology of EV-based plant-microbe communication
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students. We therefore seek candidates with an open, constructive, and collaborative approach The Department of Biology The Department of Biology (http://bio.au.dk/ ) provides a framework for research and
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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employees with Greenland as our primary base for Arctic science activities, and we are strongly anchored in the Greenland Ecosystem Monitoring (GEM) programme and to research and advise related to industrial
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The Department of Political Science at Aarhus BSS, Aarhus University, is seeking ambitious and dedicated scholars to join one of Europe’s leading political science environments, offering excellent
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of Civil and Architectural Engineering Theme 9: Building the resilient, flexible, multi-energy microgrids of tomorrow hosted by the Department of Electrical and Computer Engineering Theme 10: Advanced
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, computer science, computational biology, or similar fields. The applicant is expected to have demonstrated experience working with state-of-the-art deep learning approaches for detection and/or classification