616 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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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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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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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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in the 2025 QS World University Rankings by Subjects. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to advance cutting-edge research in the security
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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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We are looking for part-time Finance lecturers to teach within the College of Business, Nanyang Business School. Classes are mainly conducted on weekdays; or on Saturdays for make-up classes
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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analytics and machine learning techniques. Familiar with software implementation. Good written and oral communication skills. Interpersonal skill (e.g. Ability to work independently / develop solutions under
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of servers and assistance in network setup in a testbed building. Data collection from BMS and thermal and occupancy sensors, and machine learning based analysis. Daily system maintenance for the servers and