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Brughmans. You can read more about the lab here: https://cas.au.dk/en/social-resilience-lab Tasks: · Mining and extracting structured data from academic literature and historical sources, as well as web
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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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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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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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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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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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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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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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at: http://mgmt.au.dk . Practical information Working hours: approx. 15 hours per week Workplace: Universitetsbyen 61, 8000 Aarhus C, Center for Hybrid Intelligence, Department of Management, Aarhus BSS
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emphasis on publishing in leading academic journals and presenting at recognised conferences. You can read more about the Department of Management at: http://mgmt.au.dk . Practical information Working hours