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markets are governed. To test and develop this theory, the postdoctoral researcher will conduct sector case studies in different countries focusing both on the link between deviant business strategies and
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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, circular economy and green transition. You will specifically contribute to European research projects on blue biomass valorization via different technologies for micro and macro algae production and
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and students with a background in a number of different disciplines, including biology, molecular biology, statistics, chemistry, and computer science. About the research project We are seeking a
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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to soil nitrogen transformations. You will work experimentally with already established field experiments including long-term experiments with different straw retention rates. We expect that you will be
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Experience in statistical analysis and visualisation of ecological data Experience with scientific writing and publication Demonstrated ability to work in a collaborative team Excellent English skills In
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this call will take on leading roles in the empirical work of the project, with different but complementary profiles. Both postdocs are expected to have an affinity to computational methods and tools