655 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nanyang Technological University
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science. Familiarity with ship data processing, ship performance analysis, machine learning algorithms (Deep learning, Reinforcement learning, etc.). Proficiency in written and spoken English - essential for data
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models
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, Nonlinear Systems, Robotics, Machine Learning, Cyber-Physical Systems, Cyber Security, Internet of Things, and Computer Vision would be an added advantage. Fresh PhD graduates would be considered but
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with overall programme strategy. Manage day-to-day programme operations, ensuring timely achievement of milestones and deliverables. Coordinate scheduling of learning modules, mentor sessions, industry
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fields. You will be an integral member of an inter-disciplinary Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical
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Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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developers, and AI researchers to translate findings into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking