349 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at New York University
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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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. Customize 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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, 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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confidential information Qualifications In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $180,000.00 to USD $220,000.00. New York University considers factors
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latest technologies related to artificial intelligence, data analysis and property technology specifically focused on applications for real estate professionals. Faculty candidates should also have
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leadership’s final selection committee process, ensuring alignment with institutional priorities and enrollment targets; Use data and analytics to guide decisions, set admission goals, and oversee decision
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Degree in higher education administration, student affairs, education, business administration, public administration, engineering, computer science, data science, or a related interdisciplinary field
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The Assistant Director of Learning Analytics provides strategic leadership for the university’s learning data ecosystem to drive institutional data strategy. This role is responsible for the vision
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The Programmer/Analyst is responsible for formulating and defining the scope and objectives of new or modified computer programs within the NYU Law School environment. The incumbent manages the full
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the entire technical lifecycle of AI solutions, ensuring they are robust, secure, and aligned with institutional objectives. Leverage deep technical expertise in designing and optimizing data pipelines