33 assistant-professor-computer-"https:"-"https:" Postdoctoral research jobs at NEW YORK UNIVERSITY ABU DHABI
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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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, under the supervision of Professor Ali Trabolsi, Professor of Chemistry and co-PI at the Water Research Center. The successful candidate will develop new calix[n]arene-based covalent organic frameworks
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candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Pauline Corblet and Professor Samreen Malik
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rolling basis until the position is filled. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms
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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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multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science
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fields of research in Macroeconomics or Computational Social Science. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and visa acquisition by
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will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
) for Smart Infrastructure Management Systems to work under the supervision of Professor Borja García de Soto, director of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or