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the biological or technological aspects of the research programme. The ideal candidate: Is scientifically ambitious, curious, and highly motivated Demonstrates creativity and critical thinking in experimental
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, computational social science, psychology) by the starting date of the position. We are looking for outstanding candidates who can demonstrate: A strong record (relative to career stage) of research on political
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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 University, we
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Positions Application Deadline 15 Sep 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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, Bachelor of Science in Engineering, and Master of Science in Engineering students and hosts a broad portfolio of internationally recognised research activities. The position will be affiliated with
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of Ecoscience leads a citizen science-driven project on seabird mortality in Denmark (https://ecos.au.dk/en/researchconsultancy/themes/supre). As part of this project, volunteers count beached birds and collect
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Required qualifications: A Ph.D. degree in Computer Science, Data Science, Software Engineering or related field. Solid research experience in applied AI, and with Large Language Models. Solid programming
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. Further information can be found at https://envs.au.dk/en/. The Environmental Microbiology section conducts research and science-based policy advice targeted towards the understanding of the fate and role
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Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme/ Terms of employment The appointment is made
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing