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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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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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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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Biology, Physiology, or a closely related discipline Demonstrated expertise in molecular biology techniques (including metagenomics), bioinformatics and coding skills (R, Python, or equivalent) Proven
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) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge of European marine ecosystems as
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skills in statistical analyses, preferably using R Strong track record of international publications Excellent written and oral communication and project presentation skills in English Salary and benefits
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. Strong programming skills, preferably in Fortran, C/C++, or Python. Competency in visualizing and analyzing large-scale climate datasets using software tools like Matlab, IDL, Ferret, Python, or R. Merit
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge