11 big-data-and-machine-learning-phd Fellowship positions at Johns Hopkins University
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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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- Research Internal Number: A-182708-14 General Description Salary: $50,000 - $62,000 per year The Johns Hopkins Division of Rheumatology is seeking a one or two-year MD, PhD, or MD/PhD Postdoctoral Fellow for
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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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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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. Information about our lab and work is available at: reactlabjhu.org The research fellow will gain skills and expertise to be successful as an independent investigator. The research fellow will work closely with
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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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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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modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop
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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
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grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all