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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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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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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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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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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
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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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in the future without them changing during observation. This project will use extensive mathematical processing of large sparse datasets, both simulated and experimental, to reconstruct image details
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Saint Aubin Routot, Haute Normandie | France | about 4 hours ago
image segmentation will require a customized AI approach for an automated post-processing of the microscopy observations. In Phase 3, the third objective is to generalize the model built in Phase 2 and to
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Posting Details Position Details Title Nuclear Medicine Division Chief Specific Title Assistant, Associate, (Full) Professor of Radiology & Imaging Sciences Appointment Type Open Department IUSM
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), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or