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generally. Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and epidemiological cohort studies. The researcher will be expected
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submitted at the time of application) in a field relevant to urban economics, spatial econometrics, geography, urban planning, or data science, with a strong quantitative focus. Applicants should have
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in Biodiversity Economics, which is in the Land, Environment, Economics and Policy (LEEP) Institute at the University of Exeter Business School. About you Using spatial and temporal data to analyse
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application) in a field relevant to urban economics, spatial econometrics, geography, urban planning, or data science, with a strong quantitative focus. Applicants should have experience in spatial analysis and
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proven ability to use sophisticated econometric tools to analyze complex financial data on a large scale Be able to conduct research and write research papers/reports in both English and Mandarin with a
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large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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Econometrics, Applied Economics, or Finance, from a reputable university. • Familiar in working with large datasets for statistical analysis. • Good track record in publishing in related, peer-reviewed
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large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and
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and the economy at large. This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of portfolio allocation and stock