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Field
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-generation of leaders in data science and artificial intelligence. Fellows will conduct independent and innovative research aligned with a DSI Research Center , a dynamic environment that fosters
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Postdoctoral Research Fellow in Multimodal Foundation Models and Biomedical AI – AI/CS-Oriented Role
interdisciplinary team at the intersection of artificial intelligence, health, and neuroscience. This position focuses on developing next-generation multimodal foundation models and agentic AI systems that can reason
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cycle or non-award courses of Higher Education Institutions. Preference factors: - Excellent performance in programming, software development, and artificial intelligence courses.; - Advanced knowledge
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and sensor systems for remote maintenance and reliable fusion operations. Artificial Intelligence Developing advanced artificial intelligence/machine learning (AI/ML) solutions for fusion science and
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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principles (e.g., testing, evaluation, and certification processes). Proficiency in artificial intelligence for simulation and co-simulation tasks. Experience contributing to scientific software projects using
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with Circular Economy principles, machine learning, artificial intelligence, and SQL databases. A relevant degree in Engineering, computer science and data analytics or a closely related subject and a
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, analysis, or decision support. Contribute to academic publications, open-source releases, and capacity-building activities. Job Requirements: PhD in Computer Science, Data Science, Artificial Intelligence
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applied applied artificial intelligence for industry applications as well as publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please
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artificial intelligence-driven pupillometric and eye-tracking strategies to detect ocular and cerebral neurodegeneration. The successful candidate will be part of a versatile research group from NUS and the