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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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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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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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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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the following tasks: Development of new large language models for process modeling Development of new decision-making algorithms Provide regular project updates to principal investigator and funding agency Report
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development team Interacting with Continental business areas Developing and integrating AI algorithms into the real development progress Preparing academic publications such as patent applications and research
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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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
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof. Sheena’s team. The team is seeking a motivated and
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”, will predict the future impacts of climate change on human health. The Research Fellow will work with the PI of the Climate and Human Health cluster, Assoc Prof Konstadina Griva, based in the Lee Kong