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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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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 05/02/2026 ▲ Collapse Job Title: Research Fellow (Chemical Imaging) University-Level Unit: College of Design and Engineering Faculty
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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required to substantially advance a research programme on single‑photon, label‑free optical imaging by integrating in‑house single‑photon detectors with a scanning microscope platform. The role will build
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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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and take ownership of work Interest in AI, machine learning, image/audio processing Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408369/research-engineer-r… Requirements
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Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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technical support and feedback. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player
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engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge