1,441 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Singapore
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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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of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate
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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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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
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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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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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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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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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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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international collaborators across clinical, academic, and industry settings to develop privacy-preserving machine learning approaches, federated learning frameworks, and interpretable algorithms for multimodal