328 data-"https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" uni jobs at New York University
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of the world’s business capitals. NYU Stern is a welcoming community that inspires its members to embrace and lead change in a rapidly transforming world. For more information about working at NYU please visit our
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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 health, among
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after one year of employment. Details and further information regarding benefits can be found here: http://www.nyu.edu/employees/benefit/full-time/Professional-Research-Staff-Code-103.html . The position
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levels of the school and throughout the University. Ability to handle confidential and sensitive information with integrity and discretion. Knowledge of standard office software. Demonstrated ability
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Experience: 5+ years relevant professional level experience or equivalent combination. Must include experience with financial aid administration, large-scale data processing operations, and staff supervision
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supervision and office operations. Training and demonstrated experience in managing restorative programs and initiatives. Must be well-versed in quality data collection to ensure adequacy, accuracy, and
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funding portfolio, ensuring that data related to grants and sponsored projects is accurately managed, organized, and translated into clear insights for faculty and senior leadership. This position exists
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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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to find answers stemming from relevant and focused lines of inquiry; creative problem-solving; the ability to effectively operate on the full spectrum of data, information, and knowledge; and the ability
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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