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ethical, transparent, and reproducible research Methodological fit Applicants should bring deep expertise in at least one of the following. No candidate is expected to cover the full list: Large-scale data
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias
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for shortlisted candidates. Appointment Questions may be directed to Yasir Zaki at [email protected]. Information about the lab is available at the Communication Networks Lab website. About NYU Abu Dhabi https
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15,000 Emirati nationals investigating genetic, environmental, and lifestyle determinants of complex diseases. The successful candidate will lead and contribute to large-scale population genomic analyses
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Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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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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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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-based systems. More information on Dr. Siby’s research is available at https://sandrasiby.github.io/ . The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics