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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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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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Netherlands by providing society with independent knowledge, advice and warnings about risks in the field of weather, climate and seismology. Within its R&D department of weather and climate models
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analytical socio-technical skills, including statistical analyses Proven programming experience using Python, R, or others (We will not consider applications that do not showcase that) Having experience
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, ecosystem function measurement); Basic skills in satellite image analysis; Affinity and experience with data analysis and visualization in R, Python or equivalent; Excellent English language skills, both
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drought as critical risk, few have prepared for it. This is due to a lack of understanding of the urban water balance under drought and the vulnerability of urban water use(r)s, especially with regards
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& Recht, OO&R). The Radboud Business Law Institute facilitates and conducts high-quality academic research in the field of business-oriented private law. The institute is a collaboration between Radboud
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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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Biology, Ecology or Environmental Science; Strong statistical analysis skills; Proficient in the application of spatial analysis in R; Familiar with the North Sea marine ecosystem; Interested in sea going
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programming tools (e.g., Python, R, or MATLAB), ideally with experience working with spatiotemporally explicit datasets in raster or NetCDF formats. Familiarity with optimisation techniques such as mixed