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the results and improving the algorithms. It will also involve extensive literature reviews. Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with
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School of Mathematics, Computing, and Data Science at New York University, seeks candidates for two (2) assistant professor faculty positions, anticipated to begin in September 2026. Faculty members
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The Program Administrator supports the academic and administrative operations of the Civil, Urban and Environmental Engineering (CUE) Department and the Center for Urban Science + Progress (CUSP
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administration, student affairs, education, business administration, public administration, engineering, computer science, data science, or a related interdisciplinary field. Preferred Education: Master's Degree
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Education: Bachelor's Degree in Computer Science or Information Technology Preferred Education: Bachelor's Degree in Computer Science or Information Technology Required Experience: 2+ years relevant
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-on training in evolutionary biology, molecular techniques, and computational genomic analysis within an active research environment at NYU Abu Dhabi. What the Program Offers: • Full-time paid research position
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/Communications Internal Number: 283766810 Program & Events Administrator US-NY-Brooklyn Job ID: 2026-15389 Type: NYU Tandon School of Engineering (PE1001) # of Openings: 1 Category: Marketing/Advertising/Public
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the Chemistry Program of the Division of Sciences at New York University Abu Dhabi seeks to recruit a Post-doctoral Associate or Associate Research Scientist starting November 2026. Applicants with backgrounds 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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Decision-Making Lab (PI: Mark Ho) seeks a part time Associate Research Scientist to work on topics related to computational cognitive science, reinforcement learning, and interactive machine learning