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Master in economics, computer science, engineering, econometrics, statistics, or a related field. Successful candidates have preferably strong backgrounds in economics, optimization, AI, and proficiency
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curriculum of finance courses. Candidates ideally also have a strong background in micro-economics, econometrics, quantitative economics and/or computational economics. Expected output The research will result
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applications from a wide variety of backgrounds and perspectives. Strong applicants typically have backgrounds in business or economics and are looking to pursue an academic career. Creativity, self-direction
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