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Job Description Satellite Technology And Research Centre (STAR) is a world-class centre for advanced distributed satellite systems using multiple satellites flying in formation, constellation
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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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of Singapore (NUS) is seeking a candidate at the rank of Assistant Professor (Practice Track) to teach and do research in the area of satellite systems. The candidate is expected to work closely with the STAR
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of Singapore (NUS) is seeking a candidate at the rank of Assistant Professor (Practice Track) to teach and do research in the area of satellite systems. The candidate is expected to work closely with the STAR
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) is in search of candidate for a research fellow position to support 3D-IC package fault localisation and failure analysis (FA) techniques with Artificial Intelligence (AI)/Machine Learning (ML)/Deep
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fault localisation and failure analysis (FA) techniques with Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) capability. You will work closely with our researchers, students, and
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Science, in particular, courses such as: Customer Analytics and Applications Applied Machine Learning Digital Transformation Strategy (digital) Product Management Spreadsheet Modeling Masters degree or PhD
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, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning. Machine Learning