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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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Transparency, and Societal Impact. Candidates should bring expertise in areas such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis
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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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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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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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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
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technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem-solving skills. Additional Qualifications
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the Senior Director of Labs (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu