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to deal with measurement errors in exposures or outcomes in the cohort study and electronic health record data settings. They will also focus on developing methods for the analysis of audiometric data
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experimental data, and writing for peer reviewed social science journals. Candidates should have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models
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extensive experience in mammalian cell culture, mouse dissection, FACS, molecular cloning, single-cell analysis, and bacterial culture. Special Instructions Letters of recommendation are required at the time
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. Design and implement strategies for multiplexed detection, enabling simultaneous analysis of multiple analytes from small sample volume; optimize sensor design and assay for high throughput analysis
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activities: (1) ensuring adherence to data security and the responsible conduct of research guidelines; (2) conducting psychosocial and genetic data management, analysis, and interpretation; (3) engaging in
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Staff Services office. Candidates should have some familiarity with some or all of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models
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on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text-analytic workflows and historical datasets. Produce high-quality scholarly
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of the following: · Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition and non
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organized faculty mentorship component. Residency at the Warren Center for the term of the appointment is therefore required. Notes regarding application materials. The required statement of research should
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might be shared between insurers, governments, and households. Candidates should have some familiarity with some or all of the following: · Causal analysis and experimental design: difference-in