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vesicle-based signalling to nutrient-use efficiency. Manage data, perform statistical analysis and exchange results with project partners producing synthetic EVs and modelling the data. Contribute
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microbial ecology can be used to inform sustainable management practices that increase soil carbon stocks and reduce nitrogen losses. And the main focus of your position will be soil molecular analysis and
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, stable isotope probing, functional gene analysis, metagenomics, bioinformatics, and the integration of microbial chemical and environmental datasets. The candidate will contribute to establishing a SIP
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from Danish upper secondary students Compare cross-national data and analyse complete datasets in collaboration with consortium partners Gather and perform preliminary policy analysis of digital and AI
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and external partners in Denmark and abroad. You will work with the design and execution test campaigns, the analysis and interpretation of data, and the dissemination of results in high-quality
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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monitoring, control and predictive analysis during experimental operation. Both positions include reporting and publication of the results, and the opportunity to contribute to the supervision of PhD and MSc
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soil from field sites across Denmark alongside fellow scientists and field station personnel. Planning and executing of field- as well as lab-experiments. Achievement of laboratory data, analysis, and
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. Experience with one or more of the following will be considered an advantage: RNA sequencing or other omics technologies, including data analysis; advanced microscopy or image analysis; renal physiology
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one language used for computational modelling and data analysis, such as Python, R, Julia, MATLAB, NetLogo, or C++. Preferably, you have demonstrated experience with data-driven computational modelling