253 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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Description The Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
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seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study
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particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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of the University’s mission. @WorkAtNYUAD #nyuadfacultycareers Deadline Dec 01, 2025 at 11:59 PM Eastern Time Where to apply Website https://www.timeshighereducation.com/unijobs/listing/399988/computer-engineerin
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to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
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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 Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
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of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module
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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 records