24 machine-learning-"https:" "https:" "https:" "https:" "https:" uni jobs at NEW YORK UNIVERSITY ABU DHABI
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practical applications of advanced machine learning techniques. Emphasis will be given to theoretical approaches in machine learning for real-world applications, with a preferred focus on optimization, data
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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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capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied
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exploring new modes of human-computer interactions. Has demonstrated experience in exhibiting works and/or presenting at festivals and conferences, with the ability to teach and support students in developing
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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Science, or Information Science, or a bachelor’s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning
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Engineering to educate the next generation of global leaders. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission
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novel systems and tools for decision-making support. You can learn more about our research vision and work on the lab website (huda-lab.github.io). HuDa lab examines data and decision-making from a
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, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum
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Description We are looking to hire a Junior Research Scientist or engineer to help us design and build novel systems and tools for decision-making support. You can learn more about our research