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, seeking disciplinarily diverse scholars to advance foundational methods of data science and artificial intelligence, and their applications across all areas, including science, health, medicine
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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for a postdoctoral research position as part of a project related to the CHIPS for America Act. The project seeks to develop quantitative, atomic-resolution methods for the three-dimensional
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Distinguished Professor Domenico Giannone. Professor Giannone's research lies at the intersection of economics, applied statistics, and data science, with a focus on advancing empirical and computational methods
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models for cross-country and global monitoring, including linkages, spillovers, and macro-financial risks Applications of large language models and text-as-data methods to extract signals from news, policy