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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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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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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
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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students and is rapidly expanding its range of education and research activities. The Centre for Urban Solutions in the School of CEE is to provide leadership in developing innovative solutions and
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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine