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, Origin, R, Python) Driving licence (class B) is desirable The position will be filled by 1 October 2025 at the earliest. We offer an exciting position with varied activities in an interdisciplinary working
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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Excellent skills in statistical modelling, preferably using R Proven track record of publishing in international peer-reviewed journals as first author Willingness to conduct fieldwork and participate in
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This position is embedded in the AIR-MoPSy project (Atmospheric Impact on the R-Mode Positioning System), which supports the development of a terrestrial backup to satellite-based navigation systems. GNSS (Global
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proficency (Python or R, bash) experience with working over an HPC system not required, but beneficial: background on climate, hydrology or geography We expect: the ability to work independently and on your
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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and phylogenetic comparative analyses using R or Python Present research findings at scientific meetings and symposia Prepare and contribute to the publication of results in peer-reviewed journals Your
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. panel and event data) using Stata and/or R Research and evaluation of (English) research literature Literature management (e.g. with Endnote or Citavi) Support in the preparation of presentations and
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and competency conducting literature reviews in the social sciences (economics, political science, sociology, etc.) knowledge of R and/or Python for conducting econometric analysis or text analysis