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experience with proteomic or lipidomic analysis is required. Experience with data-analysis with R is required; You are highly motivated, creative and willing to work with human blood samples and large -omics
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), and physiological parameters in the study of animal behaviour; a strong background in data analysis using R, preferably experience with Bayesian statistics and social network analysis; lab experience
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and digitizing archival data, strong knowledge of causal inference methods, good command of R and Python. Knowledge of machine learning methods is an asset. Strong command of English; command of either
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and conducting intervention studies at primary schools. You have experience with using advanced statistical methods (e.g. R). You have excellent oral and written skills in Dutch and English. You
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural
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quantitative data analysis. You have strong programming skills (e.g. Python, MATLAB, R). You have an excellent command of spoken and written English. You have a strong publication record appropriate to career
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profile: A PhD degree in a relevant research field. Experience with analyses of next-generation sequence data. Extensive experience in R and Shell scripting and data management. Experience with single cell
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(ideally in Fortran). Experience with parallelisation and Linux clusters is an advantage. You have a demonstrated ability to work with scripting software (e.g. Phyton, Matlab, R) for visualisation and
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School means working in a welcoming and inspiring academic environment. What you bring A PhD in economics or econometrics; Experience in working with Stata and/or R; Experience in working with admin data