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@nist.gov 301.975.3507 Description Microscopy imaging has been used in many scientific applications including cell biology and material sciences. Advances in microscopy allow us to acquire terabyte-sized
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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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physiology Competency in scientific programming (e.g. ImageJ, Python) for data analysis and image processing. About the Lab & Environment. The Krishnakumar lab is a highly collaborative group with access
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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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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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. 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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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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the first week of August 2026. Job Duties Basic (non-health) image data processing under supervision of a graduate student or faculty Basic (non-hazardous) specimen preparation for imaging experiments under
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highly active here. The primary goal of this position is to implement novel MRI and image processing techniques for the application in radiation therapy, including imaging guidance of radiotherapy
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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