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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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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. Experience in one or more
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29 Jul 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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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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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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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications