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Because of the drastically increasing demand from AI/ML applications, the computing hardware industry has gravitated towards data formats narrower than the IEEE double format that most computational
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sciences. The fellow will work alongside Dr. Leslie McClure, Dean of CPHSJ, and contribute to the development and application of advanced statistical methodologies to analyze large-scale health-related
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and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued. Additional skills with mixed methods research on related topics
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's
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or R. Evidence of peer-reviewed publications. Preferred: Experience working with large-scale datasets. Experience with data management. Prior involvement in collaborative or grant-funded research
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Scholar to join a Sloan Foundation–funded research project led by Prof. Eamon Duede . The project investigates how the rapid emergence of artificial intelligence (particularly large language models) is
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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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outstanding research in computational physics for modeling of complex physical phenomena. Additional Qualifications Candidates must have experience in carrying out large-scale computational modeling of complex
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governance, and environmental philanthropy Lead in-depth case studies of community-led conservation in Indonesia, including data collection and analysis as well as extensive fieldwork Coordinate and contribute