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qualifications Leadership skills, management training, and experience in managing teams Knowledge of data analysis technologies (e.g., Python, R, databases, text analysis) Experience in working with sensor
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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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knowledge of statistical programming (e.g. Stata, R, or Python) - very good knowledge of English and German - very high level of personal responsibility and motivation as well as ability to work in a team
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/or genomics is required Strong analytical skills as well as broad experience with scripting languages (e.g. Python, R, Bash); knowledge of common bioinformatics software and access to databases
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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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experience in python and/or R demonstrable experience in multi-omics and/or single cell omics data analysis knowledge of machine learning principles and applications very good interpersonal and communication
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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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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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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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language (R, Python, Matlab, ...) experience with the use of a geoinformation software ability to work in a team, very good communication skills, independent working style and organizational skills very good