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with experience in causal inference using panel data (e.g., Difference-in-differences) solid knowledge of Stata, R and/or Python for conducting econometric analysis previous knowledge of conducting
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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Experience in planning of epidemiological studies and/or the analysis of data from statutory health insurances would be desirable Programming skills in SAS and R Good knowledge of spoken and written English
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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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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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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, such as Cognitive or Comparative Biology Experience conducting observational or experimental studies with animals Field experience Advanced statistical and analytical skills (experience using R is a plus