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. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with
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-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls, psychophysiological data during large-group decision making) on topics that could include (but
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strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic modeling, as well as an interest in climate risk, soil
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
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a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software programming skills in SAS
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system. Start date is negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data
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will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution
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Deadline: none (posted 2026/01/21 05:00 AM, updated 2026/01/20) Position Description: Apply Position Description Postdoctoral Associate in large-scale computing for water-energy systems Dr. Galelli’s
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Bangladesh? How does the adoption of these innovations vary over time and what are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage