1,410 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Singapore
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sustainable solutions. For more details, please view https://www.ntu.edu.sg/mesd-coe . We are looking for a Research Engineer to conduct research and development projects in low carbon shipping and ports
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description The Marketing Lead
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sustainable solutions. For more details, please view https://www.ntu.edu.sg/mesd-coe . We are looking for a Project Officer to conduct research and development projects in low carbon shipping and ports
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University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and
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, Bioinspired Materials and Sustainable Materials. For more details, please visit https://www.ntu.edu.sg/mse/research. We are looking for a Research Assistant/ Research Fellow to develop documentation for self
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: Department of Computer Science Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 05/01/2026 Job Description We are the NUS Avant Lab, led by Prof. Jingxian Wang (https
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: Kent Ridge Campus Posting Start Date: 14/10/2025 Job Description We are seeking a talented postdoctoral fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly