474 computer-science-intern-"https:" "https:" "https:" "https:" "University of Cambridge" positions at New York University
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and experience. Preferred Experience: 2+ years Experience advising students at the college or university level, preferably in computer science. Required Skills, Knowledge and Abilities: Excellent
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-fledged academic department within the newly established Courant Institute School of Mathematics, Computing, and Data Science. As the focal point for NYU’s mission to advance the mathematical, statistical
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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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: 283602086 Associate Director, Academic and Student Affairs US-NY-New York Job ID: 2026-15366 Type: Courant Institute of Mathematical Sciences (CIMS) (CM1017) # of Openings: 1 Category: Academic Program
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renewed each semester Requirements Minimum of enrolled/completed Master?s degree in a science field or current enrollment in a PhD program. Instructional experience of at least 2 years preferred. Past
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studying or working. Advise on opportunities, rights and responsibilities under the law and refer to other University departments, attorneys, or governmental agencies as necessary. Counsel international
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Apr-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 184151 The NYU Program of
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. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/22002409/sessional-lecturer-in-molecular-and-cell-biology Return to Search Results
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research, 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
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computer science, machine learning, and science to join our group in a quest to perform breakthrough research. An ideal candidate has strong research skills in relevant areas: machine learning, foundation models