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experience with experimental research Excellent command of English Preferred qualifications Programming skills (e.g. R, Bash) Experience with systematic reviews or meta-analysis Knowledge of the cognitive
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary
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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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scripting, where R experience is preferred. Additional Information Benefits Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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, R, Matlab, Google Earth Engine); You are comfortable compiling, managing, and analysing diverse datasets from different sources; You enjoy collaborating in interdisciplinary research environments and
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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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-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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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