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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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knowledges and preventions planning in the Catalan Pyrenees. He/she will conduct fieldresearch including multiple data collection methods in line with multispecies deep mapping approach developed in WP1
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field experimental design, field sampling and data management and analysis, and have a deep understanding of Mediterranean arable organic crop systems. This is a one-year postdoctoral contract (possible
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, transcriptomics, proteomics), machine learning, statistical analysis and programming languages such as R or Python. - Experience in image analysis, including development of custom ImageJ plugins and workflows
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Biology, Physiology and Immunology at the Faculty of Biology. Learn more about our research: https://www.ciberned.es/grupos/grupo-de-investigacion?id=28735 https://www.neurociencies.ub.edu/research-group
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Programme to optimise the potential for mutual learning and exploitation of the Food Sharing Compass well beyond the project. In essence, CULTIVATE will establish the EU as the global frontrunner in