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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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their skills in econometrics and quantitative as well as qualitative methods (such as surveys and interviews). To have a basic knowledge of Dutch as the data and partners are mainly from Dutch origin. To have
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-related issues. Demonstrated training or experience with using econometric methods (e.g., differences-in-difference, regression discontinuity, instrumental variables, fixed effects for panel data, matching
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of the Principal Investigator (PI). Engage with PI and U01 investigators to conduct the aims of the research award. Conduct research using large-scale secondary data analysis. Assist PI in the calculation of novel
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to agricultural development in sub-Saharan Africa (SSA) and South Asia (SA), including small-scale producers, gender, nutrition, climate, food system risks and digital financial services. For more information about
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able to further develop your skills in econometrics and quantitative as well as qualitative methods (e.g., surveys and interviews). Have a basic working knowledge of the Dutch language, because the data
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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 to publish in high