207 systems-science "https:" "https:" "https:" "https:" "UNIV" positions in United Arab Emirates
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, epidemiology, public health, or a related discipline in the social sciences. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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. 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 of employment are very competitive and
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for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering
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30 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Abu Dhabi: 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, Humanities, and
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Description The Division of Science at New York University Abu Dhabi is inviting applications for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential
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Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical
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statistics. For more information, visit https://www.aus.edu/cas/department-of-mathematics-and-statistics . ABOUT THE UNIVERSITY: American University of Sharjah (AUS) is a comprehensive, independent, non-profit
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Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI