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, experimental psychology, audiology, cognitive science, physics, electrical engineering, or a similarly relevant discipline. Experience with signal processing and quantitative methods (statistics or machine
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negative externalities of transport. The division is interdisciplinary with scholars from transportation engineering, economics, psychology, computer science, machine learning, mathematics, and statistics
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psychology, or related topics. Background in behavioral economics and experience with conducting behavioral economics experiments. Good skills in econometric and data management (with statistical software like
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