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, use-wear analysis, and controlled experiments. This combination of data requires a statistical tool for a transparent and reproducible workflow for data analysis and data modeling. By providing a
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actively to new project proposals Your qualifications: PhD in agronomy, environmental science, geosciences, or data science experience in the use of digital technologies like remote or proximal soil sensors
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projects, develop new project proposals and apply for funding. Support in supervising doctoral students and master students. Requirements: You hold a PhD in a field related to tasks above within the broader
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tool for agricultural datasets based on merging advanced statistics, machine learning and biophysical modelling regular interaction with the FAIRagro team to develop appropriate infrastructure
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stressor analyses, long-term ecological research) Data analysis, preparation of manuscripts and reports Mentoring graduate students Your profile: PhD in Ecology or a related field Solid background in (macro