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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Description With support from the Japan Foundation, the Program on U.S.-Japan Relations invites applications for the postdoctoral fellowship which includes a teaching component. One fellow will be appointed
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have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition
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The Postdoctoral Fellow will: Collaborate with the PI and interdisciplinary team on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text
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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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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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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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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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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