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#CA-DK The CT Technologist is responsible for performing a variety of diagnostic imaging procedures using CT equipment to aid in patient diagnosis and treatment. This role operates CT control
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benefits regulations, and document imaging systems. Experience with process improvement, training, or procedural documentation. Additional Information Occasional evening or weekend work may be required
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Highlights The Department of Surgery is seeking a motivated Research Technician II to support research projects focused on state-of-the-art multimodal imaging and complementary game-changing technologies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
Posting Information Posting Information Department Radiology - Abdominal Imaging - 412813 Posting Open Date 09/25/2026 Application Deadline Open Until Filled Yes Position Type Permanent Faculty
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interactions in images or videos has significantly improved with the emergence of Large Language Models (LLMs) and Vision-Language Models (VLMs). However, these large models, whether used directly or distilled
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Python or C++ or Matlab) and scientific computing are essential; together with MR image processing skills. Experience in multi-modal MRI processing, MRI harmonisation and statistical analysis would be
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, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients for procedures; assist with clerical functions. Charge procedures and
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MRI scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to PACS. 15. Adheres to University and unit-level policies and procedures and
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data