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: 1 Category: Academic Program Support New York University Overview The Institute for the Study of the Ancient World at NYU (ISAW) is a center for interdisciplinary research and graduate education on
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integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU?s global
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as critical climate infrastructure program, designing a program for cool corridors, and other pressing needs; Conduct desktop research and spatial analysis; Use research to design materials such as one
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for immediate, long-range, and future financial support, through gifts and pledges to the University, for critical operations such as student aid, faculty support, academic and research program development, and
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activities, and day-to-day management of the Export and Trade Compliance Program, an element of NYU's Global Ethics and Compliance Program. This role requires collaboration and stakeholder engagement within
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scholars and professionals across disciplines. Counsel students on academic, career, and personal matters for the Department's Applied Psychology Undergraduate Program (APUG). Develop and deliver innovative
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to join Computer Science and Engineering (CSE). This position will advise graduate students in CSE department on academic programs, policies and procedures, transfer credits, students on probation, and will
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The Associate Vice President for Compliance & Support Services reports directly to the Vice President for Global Campus Safety. Primary responsibilities include leading and directing a team that supports the NYU community through incident review and victim services, lost and found, internal...
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working environments for our students, staff and faculty. This is a full-time, permanent post. The Academic Affairs Administrator ensures the efficient delivery of the NYU London academic programme and
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needs of GPH students but is also open to those of other backgrounds. By the end of the course, students will be able to comfortably program in R for effective data preprocessing, analysis and