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Computer/Information Sciences Internal Number: A-179059-11 General Description The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program
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field-building efforts, particularly within data-driven biology. ? The ability to travel occasionally for conferences and collaboration ? Strong oral and written communication skills. Application
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Qualifications ? Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods ? Experience in the collection and processing of TEM/STEM data ? Computer programming
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, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected
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science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use
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of complexity, entropy and information, and the physics of social systems. We seek intellectually ambitious candidates with initiative and the ability to work both collaboratively and independently in a vibrant
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Bloomberg 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
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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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working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: Nowcasting and forecasting using large and diverse data sources Macroeconometric
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- Variety of unique didactic experiences - Opportunity to participate in clinical research - Leadership skill development Details: - 12-month long program - Clinical exposure