a bachelor's degree or higher in economics, statistics, finance, data science, mathematics, engineering or a related field; * a master's degree or completion of at least one year of study towards obtaining a PhD degree in economics, statistics, finance, computer science, mathematics, engineering or a related field; * knowledge of econometrics (time series econometrics, econometrics of panel data and micro-econometrics), statistics and data science (web scraping, text analysis and other advanced machine learning techniques), and model solution methods (e.g. perturbation methods and global methods); * experience in at least one of the following areas: econometrics (e.g. time series econometrics, econometrics of panel data and micro-econometrics), statistics and data science (e.g. web scraping, text analysis and other advanced machine learning techniques), and model solu
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