415 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Nanyang Technological University in Singapore
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The National Institute of Education invites suitable applications for the position of Research Associate on a 5-month contract (with possibilities of extension) at the Science of Learning in
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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Wee Kim Wee School of Communication and Information Nanyang Technological University, Singapore Part-Time Lecturer for AI in Information Management We are seeking a part-time lecturer to teach AI
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The School of Social Sciences invites applications for Part-Time Lecturers (PTLs) to teach in the Master of Science in Psychology (MScP) programme. We are looking for PTLs to serve as primary
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https://www.ntu.edu.sg/erian This Candidate will be working on a tidal project gaining hands on experience with drivetrain development, control system design, electrical machine health monitoring and
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of wireless communications, signal processing and machine learning methods and algorithms for urban anomaly detection and human activity classification through 5G signal recording, processing analysis
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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Young and research intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU Singapore has launched the “Care, Serve, and Learn” (CSL
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems