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29 Jul 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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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a post-doctoral researcher to work in any of the lab research areas, to be
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Deadline 20 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and
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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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highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
30 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Description The Geometry, Topology, and Physics group at New York University Abu Dhabi (NYUAD) is seeking a Post-Doctoral Associate to conduct research in geometric and topological aspects
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synthesis, computational chemistry, and advanced structural characterization of functional materials. The successful candidate will contribute to ongoing projects focused on understanding structure–property