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on understanding the adoption patterns of teachers and students pertaining to the 2023 primary science syllabus. Through interviews, classroom observations, video analysis and questionnaires, this project aims
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health assessment through visual behavior recognition, image-/video-based analytics, and biosignal interpretation (e.g., growth rate estimation, movement, coloration). Design and implement experiments
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of visual reasoning methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning, object detection, video analysis. Development
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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or anomaly detection in living organisms. Proven expertise in machine learning for time-series, video, or biosignal analysis; familiarity with reinforcement learning, agentic AI, or domain-adapted LLMs is
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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activities as required by the school. Key Responsibilities: Develop, refine and implement Machine Learning and AI algorithms for real-world and media-related (e.g., video games) applications. Conduct
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involving speech/audio, images, and video along with text-based applications. Job Requirements: MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics
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application to software analysis, fuzz testing, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing, cross chain behavior
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing