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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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optimization or related inverse design techniques. While this position does not involve developing AI models, it requires close collaboration with AI researchers to ensure data is appropriately structured for AI
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collaboration with hospital departments and industry. We offer an attractive work place with a strong publication output to support an academic career. For more information about our profile and projects, please
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research
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Activity Emissions data in Denmark, and the starting SmartField project, and it is envisioned that these activities will be expanded beyond Denmark to Europe or even globally. We expect that you will be
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of employment is Aarhus University with related departments. Contact information For further information, please contact: Dr. Chao Sun, chaosun@dandrite.au.dk Deadline Applications must be received
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area of employment is Aarhus University with related departments. Contact information For further information, please contact Prof. Selin Kara (selin.kara@bce.au.dk ), +45 2237 8964; and Assoc. Prof
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite