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Field
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We are a frontier artificial-intelligence laboratory, still in stealth, established for a single purpose: to build an AI capable of original discovery — a system that does not merely retrieve and
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, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg
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Systems Safety Center of Excellence • Intelligent Transportation Systems Joint Program Office • Positioning, Navigation and Timing (PNT) & Spectrum Management • Office of Research, Development & Technology
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in Electrical and Electronic Engineering, Computer Science, Artificial Intelligence or a related discipline plus at least three years of postdoctoral research experience or an equivalent qualification
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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efficient Artificial Intelligence (AI) framework for accelerated discoveries in surface science and catalysis, transforming the scientific discovery process into an adaptive, autonomous, and self-improving
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leading academic institutions with expertise spanning quantitative PET imaging, image reconstruction, physics, artificial intelligence, and data analysis, alongside industrial partners developing next
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- “Development of the adaptive landing and aerial manipulation technology based on the generalized parallel mechanism and artificial intelligence technology”. Qualifications Applicants should have a doctoral
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candidate will join the research project “Multimodal LLM-driven Intelligent Design-for-Safety Advisory System (MIDAS),” which aims to develop an innovative AI-powered advisory system to enhance Design-for
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intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency of radiation therapy. In this role, you will contribute to the design and implementation