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, in vitro transcription, northern blotting, etc.). Knowledge of UNIX/Linux computing environments and of a programming language (e.g., Perl, Python, Rust, C++, R, etc.). We offer you in accordance with
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quantitative skills (analyses of long-term data, modelling and statistical analyses, ideally in the R environment) . Is proficient in English and meets the university’s English language requirements (https
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Business Law Institute (Onderzoekcentrum Onderneming & Recht, OO&R). The Radboud Business Law Institute facilitates and conducts high-quality academic research in the field of business-oriented private law
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis