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methods for measuring mechanical strain in real-world semiconductor devices. Geometric complexity and the importance of strain in state-of-the-art nanoelectronics continue to increase, and this project is
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of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation via
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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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, 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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Medical - Clinical Medical - Research Internal Number: A-179907-11 General Description The laboratory of Gislin Dagnelie, PhD, Lions Vision Research and Rehabilitation Center, Johns Hopkins Wilmer Eye
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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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-reviewed and open-science mediums. ? Present findings at conferences and institutional meetings. Qualifications ? PhD in Biology, Protein Engineering, Biological Engineering, Chemical Engineering or a
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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