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. The doctoral training programme offers: Core training in health economics, causal inference, micro-econometrics, health inequalities, epidemiology, and healthcare decision-making. Elective courses on data
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inference, micro-econometrics, health inequalities, epidemiology, qualitative research methods such as grounded theory, and mixed-methods approaches. Elective courses on data science, public health
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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8 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Economics » Econometrics Economics » Macroeconomics History » Economic history Researcher Profile First Stage Researcher (R1
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interest in economics/finance and econometrics. We value creativity and good communication skills. The candidate should be interested in doing research on applied macroeconomics (for instance, business
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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; International trade and investment; Education and labour economics; Policy evaluation; Applied econometrics; Administrative data studies (e.g. NPD-LEO); Energy economics; Evidence-based Human Resource Management
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. This research is carried out using a variety of research methods primarily emphasizing large-scale archival data and quantitative analyses. Entrepreneurial Decision-Making and Ecosystems: This strand focuses
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technology (FinTech) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance
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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https