165 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship positions at Nanyang Technological University in Singapore
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian The Energy Research Institute @ NTU (ERI@N) is seeking to hire research
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian The Energy Research Institute @ NTU (ERI@N) is seeking to hire research
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to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development. For more details, please view https://www.ntu.edu.sg/cus. We
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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discoveries into meaningful health outcomes for patients, Singapore, and the global community. For further information, please visit: https://www.ntu.edu.sg/medicine/CMM . We are seeking a motivated Research
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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, Singapore, and the broader public. For more details, please view https://www.ntu.edu.sg/medicine/CMM . The role will involve investigating the influence of modifiable environmental risk factors, dietary and
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to
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in empirical analysis using econometric, machine-learning, and language-modeling techniques. Conducting literature reviews and synthesizing existing academic research to support ongoing projects
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning