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. in R and Python) Support/manage data collection pipeline from instruments in the lab & field (including visualisation of data in e.g. Origin) Establish, maintain, and refine documentation regarding all
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, 8000 Aarhus C and the Aarhus University Energy Research Facility located at AU Campus Viborg (https://dca.au.dk/en/about-dca/au-foulum). Who we are The Department of Biological and Chemical Engineering
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for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice
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Genetics or Population Genetics. Proficient in R and Python programming is essential. Familiar with breeding programs and breeding goals. A collaborative colleague and a good communicator. Experience in
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candidate who has: A PhD in hydrology, environmental engineering, environmental science, geography, ecology, or a related field Strong experience in hydrological modelling Proficiency in R and/or Python
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description EuroCC3 is the follow-up project of the EuroCC (European Competence Centre) and EuroCC2 on High-Performance Computing ( https://www.deic.dk/da/eurocc-denmark ). The national competence centres (NCCs
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at midnight 23:59 CEST, with a starting date of 1 August 2026 or later. Read more about the open call and how to apply on our website here . Where to apply Website https://phd.nat.au.dk/for-applicants/apply
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Aarhus University (http://bio.au.dk/en) and work in the Archaea Group (https://bio.au.dk/en/research/research-areas/microbial-processes-and-diversity/archaea-group), Section for Microbiology
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, relevant data science skills, scraping, and coding in R and Python Experience with building and analyzing large datasets 5) Other preferred qualities The ability to independently organize and potentially
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-art molecular and metabolic lab with a highly motivated and collaborative team of researchers, which is reflected in our use of English as the day-to-day language. https://corc.au.dk/corc-research