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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
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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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available from 1 January 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information You can find further information about the research at SurfCat
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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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on other issues. Both the type of information required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge