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Field
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sciences, such as economics/econometrics, psychology or sociology. Ideally, the candidate has experience working with large datasets and programming, or is willing to develop these skills during their PhD
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field
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, econometrics, and functional analysis is a plus) • Proficiency in English • Expertise in experimental research is a plus We offer... • The opportunity to conduct innovative research with a global impact • Access
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quantitative discipline such as (Quantitative) Marketing, Econometrics, (Quantitative) Psychology, Data Science or related fields. Is skilled in working with time series, panel and/or unstructured data. Has
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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(or will complete by September 2025) a (Research) Master’s degree in Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have
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APPLICATIONS FOR ADMISSION & UP TO FIVE SCHOLARSHIPS During the first year, you will complete a portfolio of advanced graduate-level courses and seminars covering finance theory, econometric and
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equivalent) in (health) economics, health sciences, epidemiology, econometrics or a closely related discipline. Strong analytical and quantitative skills. Motivation to study policy-relevant questions
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described in the rules and regulations for the PhD programme Your qualifications We expect you to have a strong quantitative background in finance, economics, and econometrics, excellent analytical skills
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research and teaching within the various areas of economics. The research, teaching, and dissemination activities at the department are organized within four groups: Econometrics and Data Science; Economic