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, computer vision and deep learning Good written and oral communication skills Proficiency in basics of programming languages such as Python Self-Motivated and takes initiative We regret to inform you that
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a Research Associate to support the development of hybrid vision-vibration digital twin for steel structures
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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manipulation based on vision-language-action models Develop efficient manipulation learning framework from human instructional videos and reduce the data demand for policy learning Develop a dexterous hand
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directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins. Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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, with expertise in relevant areas such as efficient learning, transfer learning, LLMs, or computer vision. Proven experience in high-level research, including publications in top-tier journals and
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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Hyundai-NTU-A*STAR Corp Lab has a robotic pick and place project. We are seeking to hire a research associate to carry the computer vision part of the project. Responsibilities: Develop effective
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties