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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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methodologies to support human and AI coordination in optimal decision makings, while contributing to the broader research vision and long-term objectives of the research team. Key Responsibilities: Develop
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, heart) or with big, ambitious ideas that extend the lab’s focus. You will receive direct mentorship, generous support, and space to launch a scientific program you can carry with you into a future faculty
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, systems, and robotics. Contribute to open-source codebases and reproducible research practices. Job Requirements: A completed PhD in Computer Science, Electrical Engineering, Robotics, Artificial
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hands-on experience in areas such as computer vision, deep learning, multi-modal sensing, robotics, structural health monitoring, or digital twin technologies. (Fresh PhD graduates are welcome
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/FYP students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent Independent, highly analytical, proactive and a team player Excellent
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from SGH and NNI. To provide guidance and support to any students associated with the project. To undertake any other duties relevant to the programme of research Job Requirements: Preferably PhD
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: Develop and apply new machine learning and computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. For NeuroAI focus: Apply data-driven
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or