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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources. Apply artificial intelligence and large
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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication and information school in Singapore. It is a world-class centre of
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medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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Responsibilities Architect and implement large-scale, georeferenced 3D digital twin models Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and photogrammetric data Design procedural
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large
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. • Plan and execute experiments; analyse and interpret research findings and large-scale biological data (e.g., genomic, transcriptomic, microbiome) and familiarity with following analyses – sc
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conducting research using large-scale routine or registry data, preferably in cancer. High-level proficiency / experience developing reusable analytical pipelines or modular code (in R, Stata, or Python) with
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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research