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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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subprojects (SP): 1) SP1 includes desk research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and
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research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and narrative interviews 3) SP3 focusses
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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