83 cloud-computing-"https:"-"https:"-"https:"-"https:" positions in United Arab Emirates
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art
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interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s
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Natural Language Processing and Speech - Open Rank Faculty Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Natural Language Processing Location
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requires a PhD in Computer Science or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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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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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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Robotics - Open Rank Faculty Positions Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Robotics Location Abu Dhabi, United Arab Emirates Deadline
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference