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Field
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, making use of economic theory and state of the art econometric methods. The Department of Economics has a strong research-oriented faculty working within microeconomic theory, macroeconomics, econometrics
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will have skills in econometrics and/or statistics, including health outcome and economic outcome longitudinal modeling. The postdoctoral associate will work closely with the Principal Investigators (PIs
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MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge
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skills. Strong academic background – You hold (or will obtain by winter 2025/2026) a Master’s degree (MSc or MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related
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and oral communication skills in English. Ability to work independently and as part of a team. Prior experience with large datasets, econometrics, or geospatial analysis is a strong asset. We offer We
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background. This PhD training phase will provide you with a broad array of theoretical and econometric tools that are necessary to successfully develop original and pioneering scholarly research in accounting
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knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
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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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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 22 hours ago
-level mathematics, microeconomics, macroeconomics, economic policy, and advanced econometrics. In the summer semester (April to July), doctoral students choose either microeconometrics or time series
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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