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clinical procedures. Provides physicians with required technical imaging information and in the electronic medical record. Monitors the operation of ultrasound equipment, reports service issues, and makes
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analysis Experience working with R and Python for data analysis and image processing Familiarity with image analysis tools (e.g., ImageJ/Fiji, CellProfiler, or similar platforms) is desirable Education and
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Additional Information: Responsibilities: Post-processing images from all radiologic modalities. Specialized processing in vascular, cardiac, and liver Continually instruct radiology staff physicians, fellows
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preceptor for imaging team members. Serves as a lead imager when assigned. Participates in the evaluation process for demo and pilot devices. This list of duties and responsibilities is not intended to be all
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
-processing systems. Collaborates with UCSF Clinical Systems in developing patient-centric imaging solutions and procedures. Manages Service Delivery to all Imaging IT customers. Supports small project
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Please note this vacancy is for current employees of the university only Applications are invited to the above role to support the operation of the School of Life Sciences Imaging Facility (SLIM
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roughly 300 users from across campus and operates more than a dozen department-owned imaging systems. A designated Nikon Center of Excellence, the facility houses cutting-edge microscopes, including a
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. Experience with diffuse optical imaging techniques such as DCS, TG-DCS, or speckle-based methods. Experience working with human physiological data and signal processing. Familiarity with EEG or multimodal
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between two teams from laboratories in Toulouse: IRIT (Computer Science) and CEMES (Centre for Nanoscience and Materials). One team, led by E. Soubies, specializes in computational imaging and image