66 assistant-professor-computer-science-data-"https:"-"https:"-"https:" uni jobs in United Arab Emirates
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16 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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16 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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Computer Vision - Assistant Professor Tenure-Track Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision Location Abu Dhabi, UAE Open
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Statistics and Data Science - Assistant Professor Tenure Track Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, United Arab Emirates Open Date Aug 31, 2025 Deadline Jul 31
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motivated Senior Scientists to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science algorithms
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the Computer Engineering program . We seek candidates with a research focus on the theoretical foundations and practical applications of advanced machine learning techniques. Emphasis will be given
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Computer Vision - Associate/Full Professor Tenured Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Computer Vision Location Abu Dhabi, UAE Open
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Statistics and Data Science - Associate/Full Professor Tenured Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, United Arab Emirates Open Date Aug 01, 2025 Deadline Jul 31
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7 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful