20 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Aarhus University
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus
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about the project here https://www.planttip.dk/ In this already ongoing project, we are now moving into the phase of building the model, using available knowledge, data, and theories on consumer
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evaluate data and monitoring tools for assessing animal health and welfare in all major livestock production systems (cattle, pig and poultry). The post doc will contribute to identification of animal
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veterinary sciences. Research experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication
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laboratory data, analysis, and reporting thereof. Dissemination of research findings will be a key facet, involving contributions to international peer-reviewed publications and participation in relevant
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, distinguishing local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the
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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
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project, including assisting in the supervision of undergraduate students. In addition, the postdoc is expected to keep record of the obtained data, as well as maintain rigorous documentation of
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recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations
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Applications are invited from early-career postdoctoral researchers who can demonstrate an established track record in big data analytics within the field of substance use. The two-year full time