334 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" "St" positions at New York University
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student employees in specific areas of the review process including data entry, creating and maintaining regular enrollment reports, as well as ad hoc reports as requested. Responsible for ensuring accuracy
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informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in downtown Brooklyn
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academic requirements into precise, testable system logic. High attention to detail with the ability to identify edge cases, inconsistencies, and data dependencies that impact audit accuracy. Strong
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systems (ITS), and other big data analytics in support of emerging technologies and their applications to solve transportation/mobility challenges. Recently, the Center entered into an agreement with
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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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, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in
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wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture
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they are robust, secure, and aligned with institutional objectives. Leverage deep technical expertise in designing and optimizing data pipelines, model integration, and evaluating both internal platforms and vendor
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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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, but are not limited to, modeling high dimensional interacting systems in dynamic random environments, optimization, game theory and reinforcement learning, statistical methods, network science and data