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Responsibilities: Conduct in-depth research in sublinear time and learning augmented algorithms. Design, develop, and implement novel algorithms and models. Publish research findings in leading international
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enquiries are welcome and should be made to A/Prof Matthew Kemp at kemma@nus.edu.sg Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV
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and planning algorithm for high-speed autonomous vehicle. The work will involve algorithm development, simulation, test rig set-up, and experimental validation. Requirements: The candidate must at least
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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theoretical computer science to develop algorithms and/or data structures, to further our understanding of what is possible in various computation models. The Research Associate/Research Fellow is also expected
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Power Engineering • Relevant experience in power electronics, wide band gap semiconductor devices, multilevel inverters, soft-switching high-frequency power converters, drives, control algorithms
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof. Kunn’s group. The Research Fellow will play a key role in
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. The Research Fellow will take on a significant role in Asst Prof QIAO
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with