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Economics PhD program should have a 4-year bachelor degree or master's degree in economics, econometrics or a related quantitative discipline, demonstrated research experience, and strong academic results
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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Responsibilities for the role include: Data collection, cleaning, and merging from large-scale microdata sources (e.g., patents, dissertations, bibliometrics). Conduct data analysis using econometric and statistical
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: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
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interdisciplinary research. In addition, you possess: a completed MSc degree in economics, environmental science, or a related field; a solid foundation in applied quantitative methods (e.g., econometrics, spatial
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Environmental economics, and Public policy We welcome candidates with a strong background in economics, econometrics, or related disciplines, and a clear interest in exploring real-world questions—policy-related
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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(accounting, development and international economics, econometrics, finance, macroeconomics, marketing, and microeconomics). The curriculum of the programme pays special attention to helping students with a
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expect a Masters degree in Economics, or overseas equivalent, that includes core classes in Microeconomics, Macroeconomics, Econometrics and a dissertation or research project. Alternative qualifications
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management knowledge into relevant research designs; developing research questions; applying appropriate econometric and qualitative analytical tools; writing scientific manuscripts and compile a Ph.D. thesis