163 parallel-and-distributed-computing-"Meta"-"Meta" 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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Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek
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Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant
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initial phase will employ machine learning models, computer vision algorithms, and real-time sensory integration to prototype tools such as SafeCross for safe street crossing and EasyPath for indoor
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, cardiovascular, and neurologic diseases. These projects entail computational modelling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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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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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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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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. You will also contribute to programme development, module leadership, and research activities aligned with international and industry standards. Key Responsibilities Deliver high-quality teaching across
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, and immune system markers. The school leverages this data and advanced AI and medical, and computational models to generate insights into disease mechanisms, identifying novel biomarkers and developing