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the registries on Matched Educational Data is considered a particular strength of the applicant. Proficiency in Python or R for data processing, modeling, and simulation tasks. Experience with large-scale data
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languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but
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. Proficiency in data analysis software (e.g., R, Stata, or Python). Interest in comparative politics and political economy, preferably in European wage regulation and climate policy. Fluency in English is
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