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datasets, determination of ecological values based on statistical methods (e.g. PCoA, NMDS, TITAN), construction of microbial networks as well as trait-based models Presentation of project results
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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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finished PhD in psychology, sociology or another related field of the social sciences Independent, analytical, and solution-oriented approach to your work, paired with a strong sense of responsibility and
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models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis
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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