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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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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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work will support policy makers to make better-informed decisions. Using large administrative datasets, you will develop models and provide estimates for two policy cases: (i) free-of-charge
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