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required. Experience in large-scale quantitative research and experimental methods is preferred. Additional Qualifications: PhD, MBA, JD, etc. degree preferred. Experience managing others and successfully
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monitoring, and dispatch center. E&F also provides a broad portfolio of labor-based services, including building maintenance, landscaping, and custodial, to a large portion of the University, as
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, leveraging large datasets. Position Description: A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing
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, digital preservation, human computer interaction, or large language models. Experience with a variety of data engineering languages and tools. Strong understanding of technologies like the Web, Python
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launch of a new Opportunity Evaluation and Markets Initiative that uses newly developed big data matching methods to systematically evaluate social programs and scale successful programs. This is a rapidly
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fellow to join a large-scale high-throughput connectomics project. The project is a collaboration between 8 research groups (Harvard, Princeton, Google, Allen Institute, Cambridge University, MIT, and
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biased narratives in public discourse sustain intergroup conflict and inequality? How do large-scale upheavals shape our collective identities and narratives? More information is available here . We
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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associate to work with Professor Christopher Kuzawa at Harvard University. The postdoc will oversee analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. Position Description: A typical empirical project involves refining a research