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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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motility. Identifies imaging instruments and modalities based on diagnosis. Knowledgeable in computer software for all imaging modalities. Demonstrates core knowledge of standardized imaging protocols based
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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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, etc. Experienced in image processing and machine learning. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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for technical quality, collate processed images and sequence of acquisition and label appropriately. Schedule patients for procedures; assist with clerical functions. Charge MR procedures and supplies in EHR Load
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/deep learning and computer vision techniques Experience in medical image analysis of 2D or 3D image data Publications in top AI conferences (CVPR, NeurIPS) or biomedical journals (Nature, Nature Medicine
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learning, image processing, and electronic hardware verification. They will gain hands-on experience with CT imaging systems, PCB design analysis, and non-destructive testing methods. The project will also
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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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you will do (Level I): Operate computer software for production of 3D images and multiplanar reconstructions from CT and MRI datasets for optimal visualization of patient’s anatomic structures and