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multi-year planning to ensure applications actively support the University's mission and administrative excellence. Responsibilities Required Education: Bachelor's Degree in Computer Science, Business, or
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passport. Ability to work evenings, weekends, and travel extensively. Ability to market diverse programs and serve as a liaison between admissions and academic program offices. Qualifications In compliance
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to advise them of academic program options to meet their goals. Work closely with SPS departments to identify, develop and implement new recruitment initiatives (utilizing virtual, technology, social media
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Education: Master's Degree in a quantitative field such as Data Science, Business Analytics, Statistics, Computer Science, or a related discipline. Required Experience: 10+ years in data management
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the identification of funding opportunities, assistance in the preparation and submission of proposals, the development of budgets, researching program and funding guidelines, and fulfilling all reporting requirements
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Coordinate the selection, layout and purchase of interior furnishings on two levels. First includes supporting Facilities and Construction Management on all capital construction projects. Second includes directly consulting with and advising University Departments, Senior Executives and faculty...
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the Research Associate requires a minimum of a Bachelor's degree in Transportation Engineering, Computer Science, or a similarly related field. Applicants should submit a resume. Review of applications will
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implements notification protocols. Oversees NYU’s International Travel Program, to interface and monitor alerts from 3rd party providers, notify University and travelers of impending safety and security issues
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Diploma or equivalent Required Experience: 1+ years Graduate of a Dental Assistant Training Program and experience working with special needs patients or oral surgery and 1-2 years of related experience
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supervising a team that supports technology services. Required Skills, Knowledge and Abilities: Knowledge of data warehousing technologies and data mining computational methods. Demonstrated ability to work