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with the Democracy Policy Lab, part of the new Democracy Policy Initiative at GSPP. The fellow will be working under the supervision of the Research Director on data collection, coding, and analysis
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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. The postdoctoral fellow will work with a team of investigators from institutions across the Northeast on a NIH-funded project on phenotyping obesity using behavioral, psychological, familial, and genetic data
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coordinate project-team meetings, both in person and via Microsoft Teams or other videoconferencing application. 6. Use computers and technical equipment to perform data analysis, statistical analysis, and
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 hours ago
candidate has excellent quantitative and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will be expected to lead their own research projects, contribute
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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or demonstrated interest in entrepreneurship, small business management, strategic decision-making, supply chain management, and\or network analysis. Ability to acquire and work with existing data sources
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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characteristics of obligate intracellular bacteria, including Ehrlichia and Neorickettsia spp. We use a mouse model to study the disease pathogenesis in the mammalian hosts. We also work with blood samples
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of Medicine). This interdisciplinary collaboration provides an opportunity to work across departments/schools and contribute to advancing the early detection of Alzheimer's disease through innovative