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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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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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/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and Aarhus University
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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collaboration between research groups at several departments at Aarhus University. For further information, please contact Professor Kurt Gothelf +45 60 20 27 25 kvg@chem.au.dk Application procedure Shortlisting
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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researchers, policymakers, industry partners, and farmers who translate complex data and modeling outcomes into practical insights. As the chosen candidate, you will be critical in contributing to the main
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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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and Chemical Engineering, Ole Worms Alle 3, Aarhus 8000, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Associate
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical