34 associate-professor-computer-science-"https:" "https:" "https:" "https:" research jobs at NEW YORK UNIVERSITY ABU DHABI
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Deadline 28 Feb 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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27 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive
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Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences
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be directed to Professor Pierre Youssef at yp27@nyu.edu . About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Science at New York University Abu Dhabi is inviting applications
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23 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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of Professor Raed Hashaikeh in the Mechanical Engineering Department, collaborating with a multidisciplinary team of researchers and graduate students. The postdoctoral associate will have access to state
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Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography
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Postdoctoral Associate under the supervision of Professor Hanan Salam to work on the development of frameworks, tools, and theoretical foundations for bias detection and mitigation in AI & data science, with a