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Media, Online behavior, and Language (SMOL) project at the Department of Communications and New Media, National University of Singapore is dedicated to the interdisciplinary study of humans and algorithms
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World Asset Develop new agentic AI and large language models (LLMs) to support the algorithm designs for Real World Asset applications and ecosystems. Implement and test the Real World Asset framework
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-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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ultrasonic RF data from wearable ultrasound devices using advanced beamforming techniques. Develop image reconstruction algorithm and investigate using time series ultrasound image analysis for continuous
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of the research group. Key Responsibilities: Conduct research in CV/ML/robotics for infrastructure monitoring and automation. Develop algorithms and/or systems for sensing, perception, and robotic applications
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to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from
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integrated into the development of educational technologies, for example Intelligent Tutoring Systems (ITSs), AI for education (AIED) applications could provide real-time error detection and personalized
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Responsibilities: Conducting regular field work to collect seismic data in Indonesia and Singapore. Seismic data processing and analysis. Implement multiscale subsurface imaging and inversion algorithms
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in relevant discipline Strong Practical experiences in machine learning and software development Responsibilities: Build and improve Al models for multimodal emotion inference (using audio, video, etc