997 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Singapore
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learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
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enablement Leverage data and emerging technology (e.g., Power BI, Robotic Process Automation (RPA), Artificial Intelligence/Machine Learning (AI/ML)) to solve challenges and innovate FSS operations Stakeholder
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experience of the -instructor, class size and market factors. For more information on the School and course offerings, please visit https://business.smu.edu.sg If you are interested in an adjunct position
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of the -instructor, class size and market factors. For more information on the School and course offerings, please visit https://business.smu.edu.sg If you are interested in an adjunct position, please send your CV
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. While the administrative language of the University is English, candidates are also expected to be able to teach in Chinese. Requirements Requirements include: A PhD in or in a related field. Evidence of
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
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priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
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the use 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
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Nanyang Technological University (NTU) has launched the “Care, Serve, Learn” (CSL) initiative as a compulsory, credit-bearing course series for all undergraduates admitted from Academic Year 2025