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, climate sciences, mathematics, or geo-information science or a similar relevant field, and are you proficient in programming with R/Python? Then we have the perfect opportunity for you! The Team
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courses, excellent grades, and an outstanding master thesis). You have strong affinity with (social) entrepreneurship research, preferably including proficiency in programming languages (e.g., Python, R
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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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the Faculty of Law at Radboud University, and you will be a part of the Radboud Business Law Institute (Onderzoekcentrum Onderneming & Recht, OO&R). The Radboud Business Law Institute facilitates and conducts
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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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academic record, with expertise in machine learning, statistical analysis, and numerical methods; ● Proficiency in Python (preferred) or related programming languages such as R, MATLAB, or C++; ● Experience
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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
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chemistry) laboratory; statistical skills for proper data treatment ; experience with programming (R or Python) for data handling and visualisation; strong analytical skills; excellent communication skills
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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