67 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at NEW YORK UNIVERSITY ABU DHABI
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Political Science Program in the Division of Social Science is inviting applications
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30 Jan 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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to communicate research findings to the global scientific community. A candidate with a Master’s degree is preferred; however, the minimum requirement is a Bachelor’s degree in physics, computer science, or a
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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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program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network
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presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology
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experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews. Applicants must have an undergraduate degree in computer science, have significant
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist
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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