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. This role is instrumental in supporting Singapore’s national agenda in digital trust by contributing to the research, development, and integration of cutting-edge post-quantum cryptographic (PQC) solutions
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. This role is instrumental in supporting Singapore’s national agenda in digital trust by contributing to the research, development, and integration of cutting-edge post-quantum cryptographic (PQC) solutions
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Python to take ownership of end-to-end development of two web platforms (one fully developed and one with a functional prototype) associated with the two projects mentioned above. The first project
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
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surfaces (RIS) and associated signal processing for terahertz communication links. The project aims to develop advanced RIS, corresponding channel models, and efficient signal processing algorithms
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for TBM risk identification Developing practical tools to optimize TBM operation parameters Writing
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data