16 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at NEW YORK UNIVERSITY ABU DHABI
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as well as contributing to curriculum development. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is
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of the University’s mission. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405821/professor-of-comput… Requirements Additional Information Work Location(s) Number of offers
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6 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United
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Description The Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
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8 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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semantics and spatial reasoning. AI for Physical Systems – Leveraging machine learning and AI to improve performance, safety, and adaptability of robots, autonomous vehicles, and other intelligent machines
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, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates
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psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is
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a distinguished and diverse faculty engaged in research in emerging technology breakthroughs in robotics, cyber-security, smart cities, bioengineering, energy and environmental sustainability