412 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nanyang Technological University
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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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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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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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, 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
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, 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 grow. We welcome you to join our community
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assets for a game proposal. This learning enables students to build capable, engine-ready assets for any game project. Applicants to this position will be able to demonstrate expertise in the complete game
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learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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Nanyang Technological University (NTU) has launched the “Care, Serve, Learn” (CSL) initiative as a compulsory, credit-bearing course series for all undergraduates admitted from Academic Year 2025