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culture. Key Responsibilities: Design and implement optical interferometric imaging approach for functional neuroimaging Conduct experiments on cells and/or animals Analyze and summarize the experimental
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PhD candidates to design and develop AI applications in image processing, computational imaging, and computer vision. Review and analyze recent research papers and baseline implementations; participate
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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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culture. Key Responsibilities Design and implement optical interferometric imaging approach for functional neuroimaging Conduct experiments on cells and/or animals Analyze and summarize the experimental
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focus on computer vision, multimodal image analysis and understanding, etc. Key Responsibilities: To independently undertake research in multimodal foundation modeling, document image analysis and
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-management) and direct-conversion detection pathways. The role will coordinate materials/device fabrication, characterization and imaging validation (e.g., MTF/SNR, low-contrast detectability), align workplans
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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technical writing, and consistent throughput from idea → prototype → validated results → publication-quality artifacts Job Requirements: Preferably Master in Computer Engineering, Computer
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, for the purpose of aiding and enabling downstream tissue engineering and preclinical study, working with other team members. Key Responsibilities: Design and develop a prototype to analyse the electrical signals