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service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus
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for Applied Marine Ecology and Modelling (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/applied-marine-ecology-and-modelling ). The department is, and wishes to continue to
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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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. The Section for Wildlife Ecology is situated in Aarhus and employs 35 staff members, including six affiliated with the bat research group. For more information on the Department see: http://ecos.au.dk/en/ What
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for large-scale immunological and proteomic studies (e.g., Olink, MSD, etc). Lead data analysis and integration of omics datasets, contributing to scientific manuscripts and grant proposals. Provide
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1 Mar 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Electric Power Systems and Microgrids Research Field
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
. This is enabled by an extensive farm-based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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quality and functioning, particularly in plumes near river outlets. This post doc project will rely on existing data as well as new field data of nutrients, carbon, and stable isotopes from riverine-coast
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of the model will largely be built on existing datasets from large scale wave flumes. These datasets will not involve actual swash zone processes, but rather measurements of coastal profile development from
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date of 1 June 2026. They are well suited for early-career researchers interested in policing and politics, and who want hands-on experience working with large-scale quasi-experimental data. The project