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degree in Econometrics, Applied Economics, or Finance, from a reputable university. Familiar in working with large datasets for statistical analysis. Good track record in publishing in related, peer
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. Position Description: A typical empirical project involves refining a research
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financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and
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investments, and/or corporate valuations is highly preferred. Quantitative analytical and/or financial econometric skills are highly desired, along with experience with empirical and theoretical research
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science, operations research, or another relevant discipline Strong quantitative skills, incl. econometrics Research experience with at least one of the following: financial markets, electricity market
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spanning development economics and econometrics. We provide three examples below of projects the fellow may work on. 1. “Meta-analysis and evidence aggregation” (Breza and Viviano) Description: The goal
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Advanced knowledge of electronic healthcare records and their use in development and validation of risk prediction models Knowledge in application of econometrics in research Advanced knowledge of how
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Job Reference: 987915 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills
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expertise from education, psychology, sociology, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The PhD
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measurement, psychometrics, econometrics, statistics, and biostatistics. The PhD fellowship is affiliated with CREATE’s research strand 1 «Identifying the barriers to equality in education». UiO/ Anders Lien