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sector Competence in R and one or more additional programming languages (e.g. Python, C++, C#) Experience in data mining, scholarly databases, and the management, curation and analysis of data following
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the analysis of hydrological processes and their complex interplay with various drivers and actors and is associated with the prospect of leading the working group. The successful candidate is expected
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well as the communication between root and shoots in the regulation of root traits. This includes element and phytohormone analyses as well as investigations on gene regulation and DNA sequence variation. The ultimate goal
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of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta
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reviews, empirical data collection, statistical analysis, and editorial work (manuscripts, social media, and the department’s website) Proactively engage with the vibrant research environment of the unit