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of Classical and Bayesian econometric models of spatial location choice. • Has strong background in developing stated preference surveys. • Is proficient in programming econometric models in R, Python
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or interest in at least one of the following research areas: Artificial Intelligence and Machine Learning Computer Vision Econometrics Causal Analytics Programming Languages & Software Engineering Only
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data and use that information in an econometric model to obtain strategic and actionable insights for product developers. The projects on patent citation networks use network analysis and econometrics
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• Coordinating and supervising research assistants to help in the responsibilities stated above. Requirements - A PhD degree in econometrics, economics, finance, or other related fields. - Experience
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Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field Expertise in survey design Proficient in statistical modelling and econometrics Research on the human
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learning Econometric analyses – desirable, but not essential Writing research papers in English Good communication and teamwork skills More Information Location: Kent Ridge Campus Organization: School
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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science, information systems, data science, statistics, mathematics, physics, engineering, operations research, econometrics or others). At least 2 years of hands-on experience developing AI/ML solutions in a corporate
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing
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, and credit risk analysis, is required. A thorough knowledge of the research field of sustainable economics or finance is highly preferred. Quantitative analytical and/or financial econometric skills