52 computational-intelligence Fellowship positions at Nanyang Technological University
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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Requirements: Ph.D. in Electrical and Electronic Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Human-Computer Interaction, Biomedical Engineering, or other
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Responsibilities: To independently undertake research in artificial intelligence and computer vision tools. To use these tools for interpret the acoustic sensing results. To produce research reports and/or
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of artificial intelligence and strategic management, with emphasis on strategic decision-making, managerial cognition, and problem formulation. The successful candidate will participate in organizational field
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The Institute for Digital Molecular Analytics and Science (IDMxS) of the Nanyang Technological University, Singapore, is searching for a Research Fellow to develop artificial intelligence/ machine
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. Collaborate with a multidisciplinary team to advance the field of embodied intelligence. Job Requirements: Ph.D. in Computer Science, Robotics, AI, or a related field. At least 3 top-tier AI and Robotics
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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research fellow will focus on foundation model-based world model development for embodied intelligence, and