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Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
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investigating the neural circuits underlying behavior using in vivo imaging, behavioral experiments, stereotaxic surgery, viral approaches, and histological methods. The position will work closely with
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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improvement activities to enhance imaging services. 8. Stay updated on advancements in radiologic technology and new diagnostic procedures. 9. Ensure confidentiality and compliance with HIPAA regulations and
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for improving the quality and visibility of images affected by atmospheric haze. The student will gain hands-on experience applying linear algebra, image processing, and Python programming to a research problem
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imaging-related animal ethics protocols and support institutional animal ethics review and oversight processes. Knowledge of relevant Singapore requirements (e.g., NACLAR Guidelines, Animals and Birds Act
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and image processing software, and provide personalised as well as small-group consultations to support users from sample preparation to image acquisition and data extraction. This is an entry-level
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About Us The School of Biomedical Engineering and Imaging Sciences is an interdisciplinary School dedicated to the development, clinical translation and clinical application of medical imaging
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imaging procedures, starting IV's, and injecting contrast, if applicable. Assist radiologist with interventional MRI procedures. Evaluate MRI scans for technical quality, collate processed images in
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inference workflows that can process DICOM-derived imaging at scale, generate structured quantitative outputs and operate within approved secure research computing environments. Link RAIDA-derived CT