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: A Master’s degree (or will graduate before appointment date) in Ecology or Environmental Science; Strong statistical analysis and technical skills; Proficient in the application of spatial analysis in
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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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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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operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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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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the NCO will consist of an extensive survey data collection on gender cultures in Dutch secondary schools. This dataset will be linked to register data from Statistics Netherlands (CBS). In the PhD project
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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy
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identity. The project will make use of prehistoric ceramic assemblages from the FDP and consist of a wide scope of methods including stylistic, scientific and statistical approaches. The goal of the project
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on the following key questions: Analysing Centralization and Accessibility: Using population data from real world data sources such as cancer registries and data from the central bureau of statistics, the PhD