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develop novel theoretical frameworks and algorithms for quantum-enhanced learning and intelligent agents, with research directions including quantum advantages in data-sparse learning, quantum algorithms
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novel 3D modeling algorithms for near-surface characterization using curated geo-data. Contribute to the development of intelligent geophysical imaging algorithms. Publish high-impact research articles in
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on developing AI algorithms (especially for training) aimed at post-digital hardware. Specifically, the project targets numerical and local learning algorithms beyond backpropagation. Key Responsibilities
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stakeholders to translate research into practical tools and workflows. Responsibilities: Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for urban intelligence
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a research fellow to support the development of algorithms for anomaly detection, simulate and test it on
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analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
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combines classical and quantum algorithm design, software implementation, and applications in drug discovery and molecular modelling. The research will contribute to the development of both quantum and/or
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the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm on Embodied AI for Intelligent System. Conduct