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health) project, a large EU Horizon project involving a network of over 20 core European partners. The candidate will contribute to the project’s aim of boosting soil health literacy and awareness in both
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that you have to work with large datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair
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science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric models. Experience
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dissect the genetic variation that underlies a type of clonal plant regeneration called somatic embryogenesis. You will characterize a large population of Arabidopsis thaliana (arabidopsis) ecotypes
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research into safe and reliable food. We are specialists in (forensic) measurement of large numbers of samples, and we develop analytical methods to detect unwanted substances in food. In the Contaminants-2
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and host quality on disease risk. Applying molecular techniques to quantify fungal abundance and diversity in large-scale biodiversity experiments. Co-supervising PhD students, particularly supporting
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Your job Are you motivated by the critical yet complex challenge of developing a spatiotemporal data integration framework to support human action-taking in complex land systems? If yes
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national large-scale scientific research facility, partially located within Unifarm. You combine your leadership skills with your expertise in cultivation, technology and computer systems to guide a team of
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restoration. In DIGDEEP, we combine large-scale ecological experiments with epidemiological modelling to uncover general rules of disease transmission in plant communities. As our PhD candidate, you will take
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Your job Do you have a background in agronomy, soil science or environmental science and would you like to contribute to more sustainable agricultural systems? Do you enjoy the puzzle of data