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applications including asset pricing, volatility modelling, risk management etc. Developing the framework of economic world models, with generative AI algorithms such as diffusion models and theory-informed
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hyperparameter optimization of state-of-the-art symbolic regression algorithms and compare their performance against empirically derived performance limits. • Research: Contribute to the development and
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electromagnetics-related major and experience in computational electromagnetics simulation. A strong desire to learn and to develop and apply computational electromagnetics algorithms and tools to solve
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real-world impact. SPMS is seeking to hire a Research Assistant to advance robust optimization methods for urban drone logistics. Key Responsibilities: The Research Assistant will develop
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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remains a substantial gap between the theory and practical behavior of many widely used algorithms. This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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projects with industry partners. Develop hybrid quantum-classical applications integrating AI and HPC workflows. Apply VQE, QAOA, QML, quantum annealing, and quantum-inspired algorithms. Develop industry
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore