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a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference
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a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference
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climate futures and impacts Experience of processing, integrating and analyzing large quantitative or qualitative data sets Ability to think laterally and integrate knowledge from different disciplines
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct literature review for future projects. Assist
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American Hospital Association survey data, Area Health Resource Files, and Medicare Hospital Compare data Analyze panel data using econometric methods. Conduct a literature review for future projects. Assist
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/CCUS, and geothermal energy. The researcher will also lead efforts in data mining, market research, and modeling to assess value chains and perform financial analyses, including Net Present Value (NPV
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both
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://www.medrxiv.org/content/10.1101/2024.06.27.24309563v1 (link is external) ). Data sources for our work in this area are large-scale electronic health record data, medical claims data, mortality registries, and
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Minimum qualifications: PhD/ScD/MD or equivalent degree and years of experience in epidemiology, econometrics (particularly around cost-effectiveness analyses), and pharmaceutical or medical device policy