409 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nanyang Technological University
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Learning (Undergraduate Programmes), this position is responsible for academic planning, curriculum coordination, and operational efficiency within NTUpreneur’s undergraduate offerings. The role ensures
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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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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
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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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The Institute for Pedagogical Innovation, Research and Excellence (InsPIRE) drives NTU’s commitment to excellence in teaching and learning. We champion the integration of artificial intelligence
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . This position supports research activities in electrocatalysis and
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We are looking for a part-time lecturer to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine how politics, ideology, international
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(ELL) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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: Qualification: A bachelor’s degree in computer science, computer engineering, electronics engineering or equivalent. Strong background and experience in machine learning and computer vision. Prior experience in