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of individual level data on internships and graduate employment. Compiling, processing, and analyzing data using statistics and econometrics software such as STATA and R. Preparing sections of analysis, writing
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programming skills Maturity and capacity to begin an independent research career Deep expertise in econometrics, machine learning and deep learning models and algorithms Good communication and time management
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background in reference disciplines/areas of information systems, economics, econometrics and AI/ML More Information Location: Kent Ridge Campus Organization: School of Computing Department : Department
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projects • Strong background in reference disciplines/areas of information systems, economics, econometrics and AI/ML More Information Location: Kent Ridge Campus Organization: School of Computing
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skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in
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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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/ Public Health/ Engineering/ Computer Science/ Mathematics • Knowledge of probability and data analysis (statistics and/ or econometrics) • Use of software like R or Python or STATA Applicants with
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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