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priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
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/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception, adaptive control with reinforcement learning
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at entrepreneurship and boldly initiating start-up ventures. Job Requirements for Educator-Track Faculty We seek to fill positions in several areas including but not restricted to statistical and machine learning (ML
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borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a
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to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is
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adaptation; reinforcement learning and inverse reinforcement learning. o Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence
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understanding of modern AI concepts - including generative AI, agentic AI, and predictive/machine learning approaches. Relevant AI certifications, hands-on experience with AI platforms/orchestration tools
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strong methodological or computational expertise in one or more of the following areas: operations research and optimization; statistics, machine learning (ML), artificial intelligence (AI), and data
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healthy team morale Who You Are Degree in Information Technology, Computer Science, Computer Engineering or equivalent. At least 10 years within IT industry in a technical role, and at least 3 years
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fields Background in Probability/Statistics with an interest in Statistical learning problems -- especially from a theoretical perspective See also other requirements and info listed here: https