12 computer-"https:"-"https:"-"https:"-"https:"-"Dr" research jobs at NEW YORK UNIVERSITY ABU DHABI
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Description The Division of Engineering at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate position under the supervision of Prof. Qurrat-Ul-Ain Nadeem in the NextG Wireless Lab. The successful candidate will contribute to cutting-edge research on the...
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2 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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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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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, 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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research environment. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences
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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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Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art