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, ICCV, ECCV, NeurIPS, AAAI, ICLR, IJCAI, ICRA, IROS, RA-L. • Research experience in computer vision with image / RGBD data and video understanding. • Strong programming skills in using Deep Learning
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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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innovation. We are seeking a proactive professional with a wide vision spanning academia to industry to join our team. The successful candidate will be responsible for: Independently conducting scientific and
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solutions cover computer vision, NLP and general ML, such as object detection for autonomous vehicles, question-answering AI for education chatbots, and fraud detection for insurance. We are expanding our
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libraries including OpenCV, Pointcloud library, Tracking filters, Computer vision techniques Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN Experience with SLAM
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including OpenCV, Pointcloud library, Tracking filters, Computer vision techniques Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN Experience with SLAM
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including OpenCV, Pointcloud library, Tracking filters, Computer vision techniques Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN Experience with SLAM
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Policy Programme (ELP). The ideal candidate would be interested in working on globally-oriented energy governance issues with a regional focus, particularly topical issues of a cross-cutting nature. CIL
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. For more information on the Centre including its vision and mission please see www.cil.nus.edu.sg. Energy Law and Policy Programme The Energy Law & Policy Programme is a new programme area which CIL is
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that involves shaping a long-term vision for harnessing the power of data across the 10 Translational Research Programs (TRPs) under the guidance of the Vice-Dean (Research). These programs encompass