395 data "https:" "https:" "https:" "https:" "CNRS" "Univ" positions at New York University
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that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and
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provides strategic leadership for the universitys learning data ecosystem to drive institutional data strategy. This role is responsible for the vision, development, and scalability of learning analytics
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diverse and talented staff members, who work together to build and sustain this unique and pioneering institution of higher education in China. For more information about NYU Shanghai, please visit https
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of the incumbent's performance relative to this area) Provides comprehensive financial information, analysis and advice to optimize use of the organization's financial resources. Creates and updates long range
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to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high
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that highlights research, academic programs, events, student life, and the impact of Arts & Science. Assess audience engagement data and improve content strategies. Manage library of digital assets for use across
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, innovation, and entrepreneurship that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial
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research, innovation, and entrepreneurship that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences
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subject data. Develop and manage Standard Operating Procedures and databases. Prepare and submit regular progress reports to funding agencies as required by each study. Provide support to the senior
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. Excellent verbal and written communication skills. Preferred Skills, Knowledge and Abilities: Must be well versed in quality data collection to ensure adequacy, accuracy and legitimacy of data in NYU systems