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- Leiden University
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mentoring junior researchers and contributing to a positive and inclusive lab culture is highly valued. Experience with R or Python is an advantage, but candidates with a strong willingness to develop
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several—of the following: policy analysis, survey research, quantitative analysis, scientometrics, stakeholder co-creation. Advanced proficiency in R and python for statistical and corpus analysis Ability
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of the English language, demonstrated through published first author papers in respected and relevant conference proceedings or journals; Experience with programming in Python, or otherwise in R and/or C++; Able to work
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achievements that demonstrate your relevant competences. Your motivation for applying to this R&D position. Your motivation for working in an academic environment. Full transcripts of M.Sc. degree and PhD degree
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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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datasets and use statistical software such as Stata, R, or Python to produce robust results. Design appropriate causal strategies for evaluating policies or social programs. Translate theoretical and policy
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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