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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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responsibilities will include but are not limited to: ? Sample preparation via focused ion beam methods ? Collecting and processing of 4DSTEM and other electron microscopy data ? Presenting results at internal
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include but are not limited to: ? Conduct innovative research in developing large-scale measurements of protein sequence-function relationships. ? Design and execute experiments, analyze data, and interpret
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required. § The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms is required
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characterization of complex semiconductor devices via electron tomography. By coupling advance specimen preparation, cutting-edge electron microscopy instrumentation, and AI-driven data collection and reconstruction
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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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and evolution 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
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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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, their cultures and the community at large. More information: Hand Therapy Fellowship ' Johns Hopkins Physical Medicine and Rehabilitation The mission of Johns Hopkins Medicine is to improve the health
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convenient locations form the Johns Hopkins Rehabilitation Network, which provides comprehensive rehabilitation services and continuum of care to patients throughout Maryland. For more information, check out