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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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to these phenomena, both from a legal normative perspective and an empirical perspective; The analysis of fundamental assumptions underlying rules and regulations and studying the implementation of regulation, its
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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
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prior research experience in sociology - including a robust command of social science methods (e.g. ethnography, interviewing, policy/discourse analysis) and thorough theoretical expertise in cultural
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where is the limit of government power in a data-driven society? You will have plenty of space to choose your own research angle and work in a multidisciplinary team with a focus on social impact. At
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Management Directorate (ABD) University Library (UB) Convergence Human Resources (HR) Finance (FIN) Education and Student Affairs (E&S) Erasmus Digitalisation and Information Services (EDIS) Real Estate
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methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become