406 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at Nanyang Technological University
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of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . The National Institute
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Education (NSSE) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie/ for more
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of child development in Singapore. Situated within the National Institute of Education (NIE), CRCD is a leading research centre conducting studies to enhance care, teaching and learning, school
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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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Master’s degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning Strong analytical, research, and scientific writing
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Requirements Master’s degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning Strong analytical, research, and
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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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