667 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nanyang Technological University
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work closely with NTU MSE and A*STAR
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Science, Electronics Engineering or related fields. Strong knowledge in deep learning, pose estimation, 2D/3D detection and segmentation, SAM, foundation models, and 3D computer vision; strong software skills and
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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 Key Responsibilities: The Research Fellow will
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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 Postdoctoral Fellow to advance cutting-edge research in the security
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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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. Publication of research papers and IPs. To assist project PI to coach research students. Job Requirements: A Bachelor’s degree in relevant fields with past experience in embedded system, machine learning 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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to learning. The rapidly changing nature of work, compounded by the relentless speed of innovation, necessitates that our graduates constantly acquire new knowledge and competencies, and adapt to several career
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, Singapore, invites qualified candidates to apply for a Part-Time Lecturer for DF2011 Sound for Film. The Part-Time Lecturer is expected to teach an undergraduate core course commencing in August 2026. DF2011
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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