31 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs at Johns Hopkins University
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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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. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation
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or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review
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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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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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support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure
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standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May
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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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discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in
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University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance