320 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at New York University in United States
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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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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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including those of a confidential nature. Prioritize office activities and delegate work to student and/or casual employees. Serve as a source of information to faculty, researchers, students, contractors
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Counselor will be expected to represent LRAP and the School of Law at various on-campus functions throughout the year including recruitment events, panels, and information sessions. The LRAP Counselor will
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and/or compose letters in response to requests for information. Perform general word processing duties utilizing intermediate to advanced-level functions. Modify and/or create databases and complex
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for information. Perform general word processing duties utilizing intermediate to advanced-level functions. Modify and/or create databases and complex spreadsheets. Monitor complex department budgets and/or grants
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to present eligibility to work in the United States. Applicants should submit the following information: Cover letter up-to-date CV that includes a complete list of publications, names and contact information
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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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change in a rapidly transforming world. For more information about working at NYU and to apply for this position please visit our website at: http://www.nyu.edu/about/careers-at-nyu.html . NYU aims to be
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difference in the world. The CERA Lab conducts interdisciplinary research that integrates engineering, data science, climate science, and decision analysis to quantify and mitigate climate and infrastructure