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and machine learning Deep understanding and rich hand-on experience in deep networks Good communication skills in English Background knowledge in computer vision and/or point cloud processing. Prior
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research. Job Requirements: Master's degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Knowledge
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computer science, machine learning, data science, information science, mathematics, or related disciplines. Experiences/Knowledge in deep learning, reinforcement learning, and user interface development. Proficiency
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familiar with Robot programming, control and calibration including but not limited to URDF generation, Computer Vision integration, inverse kinematics and motion planning. Responsible for establishing
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diverse and multi-disciplinary environment. Key Responsibilities: Use computational linguistic tools and machine learning techniques to analyze discussions on climate change in corporate social
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We welcome applications for a Research Fellow position in AI/Machine Learning at the School of Mechanical and Aerospace Engineering (MAE), NTU, Singapore. The appointment is full-time and is funded
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demonstrated excellence in teaching Spanish preferably at tertiary level. Experienced in developing Spanish language materials, including e-learning materials. Experienced with multimedia and computer-based
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applicant will teach introductory to advanced French courses to tertiary students and develop pedagogical materials, incorporating technological innovations into the curriculum and knowledge of current trends
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: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning
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captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods