25 image-processing Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in engineering
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high-frequency ultrasound imaging platform, including hardware-software integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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learning, image/audio processing
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not
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to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps
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processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids
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Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel