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skills. More information may be found on the ENERPOL home page: https://cordis.europa.eu/project/id/101226229 The position provides salary according to TV-L 13, which is in accordance with EU guidelines
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econometric analyses, cleaning and analyzing data, writing research reports, conducting background research and literature reviews, identifying and obtaining secondary data, coding survey questionnaires, and
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on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training
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/macroeconomics, econometrics, financial economics, economic development strategies, quantitative methods, data analysis for economic policy, international trade/finance, economics of innovation, risk analysis, or
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management teams). In addition, you have experience with quantitative empirical research, statistical and econometric analysis (e.g., Stata, R), and / or natural language processing (Python, R). Passion
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Management, Information Technology, Operations Research, Operations Management, Industrial Engineering, Process Engineering, Applied Econometrics, Data Science. Applicants who are ABD (all but dissertation
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of Economics invites applications for a tenure-track position at the rank of Assistant or Associate Professor with a specialization in Microeconomics or Applied Econometrics, effective Fall 2026. We welcome
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, econometric techniques, data visualization techniques, and various statistical software. The CJRC has an outstanding portfolio of faculty affiliates, seed funding resources, and externally funded ongoing
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Location: Stanford, USA; Heidelberg, Germany; or remote The team led by Pascal Geldsetzer at Stanford University is looking for a talented researcher with experience in econometric/quasi
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datasets. This work will involve the cleaning and development of data files as well as using econometric and statistical analysis to analyze the data. A background in statistical programming (STATA and/or R