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of economics, though we have particular interest in candidates with experience teaching Microeconomics, Macroeconomics, and Econometrics as well as Finance and Management. We also welcome proposals
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applicants from underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our
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spearhead a groundbreaking initiative at the Stanford Digital Economy Lab (DEL) focused on tracking and measuring the economic and societal impacts of AI and related technology. Reporting to Faculty Director
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), the Center for Natural Hazards Research (https://hazards.ecu.edu/ ), and the Center for Sustainable Energy and Environmental Engineering (https://cet.ecu.edu/sustainability ). In addition, ECU’s Integrated
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Manager to spearhead a groundbreaking initiative at the Stanford Digital Economy Lab (DEL) focused on tracking and measuring the economic and societal impacts of AI and related technology. Reporting
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one year of experience as predoc. Scholars with strengths in applied micro-econometrics, field experiments, survey and applied data science (including machine learning and computational methods fare
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. The successful candidate will conduct and oversee econometric analyses using large-scale datasets, design benchmarking frameworks for comparing education systems across and within countries and apply these methods
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M.A. programs, and Ph.D. program. The Department’s curricular offerings have shifted toward placing a stronger emphasis on econometric methods and data analysis in recent years. The successful candidate
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potential of new technologies in shaping a new technological paradigm. The research will use quantitative methods of statistical and econometric analysis, combining the exploration of historical and
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have any questions about the position, please get in touch during office hours: Prof. dr. Arthur Schram E: a.j.h.c.schram@uva.nl T: +31 (0)20-5254252 Where to apply Website https