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research in plant physiology, experience with sensor networks (automated dendrometers, sap-flow systems) and with processing and statistical analyses of large datasets is important. Teamwork within the group
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the data, and analysing it descriptively using the statistical software packages R or Stata Contributing to a research article documenting the dataset and the changes in the collective bargaining landscape
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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that to others, and know when to apply which method. You have a rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a
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rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a Master’s degree in Economics, Political Science, Data Science, or a
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it includes both experimental and theoretical researchers which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's
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, programming and statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results
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, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling
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per month. Job description You will mainly work on cleaning data sets and conducting statistical analysis in preparation for academic publications You will also be responsible for visualizing results
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). Proficiency in the statistical software package Stata and/or R (Python is a plus) Prior experience with data cleaning and management Fluency in German and English Excellent writing skills (in German and English