1,363 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Singapore
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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year of relevant research experiences in similar research role / technical hands-on experience in AI and machine learning Familiarity with large-language models Good written and oral communication skills
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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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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Associate to carry
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position in Artificial Intelligence, Machine Learning and Software Engineering/Programming Languages. Responsibilities Design and deliver high quality courses in Artificial Intelligence, Machine Learning and
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/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception, adaptive control with reinforcement learning
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inter-department joint activities. The incumbent will oversee various I&E activities and engagements to enhance the experiential learning. S/he will also support venture internship, expanding the industry
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the Office of Information, Knowledge and Library Services (OIKLS). Reporting to the University Librarian, this role is about helping shape the future of how students and faculty learn and teach at NTU