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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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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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, 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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, 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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). 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
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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) Very good
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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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literature reviews, data visualization, and statistical analysis. Prepare research findings for publication in leading academic journals. Your position The successful candidate will support the project
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their thesis work are eligible to apply) • Strong expertise in mammalian cell culture, in vitro disease models, Immunohistochemistry and molecular biology. • Proven experience in statistical analysis
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which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's publications can be found on Google Scholar . [1] 1. M. Kaiser, et al