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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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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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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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R documented excellent and intuitive graphical presentation of data analyses for presentation and publication excellent English language skills (speaking and writing) comprehensive presentation
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
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of statistical and geoinformation software (e.g., Python, R, QGIS) You have a high degree of team spirit Our Offer: We work on cutting-edge, innovative topics and offer you the opportunity to play an active role
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of the theoretical foundations of economics, as well as relevant empirical and experimental methods • Experience in data analysis using statistical programs such as Stata or R • Enthusiasm for research and teaching
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to submit the dissertation after 3 years and 9 months of research. Desired requirements specific to this project include: experience with a range of relevant computer programming languages such as Python, R
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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the research department is English); Good knowledge of German, Arabic, Russian, and/or Chinese is a big plus; Training in and experience with statistical methods, advanced regression models, and excellent R