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biological processes in cells (living or fixed), tissues and spheroids made up of human or mouse cells. We are looking for an enthusiastic and service-oriented Bio-Image Analyst. The candidate will work in the
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to spearhead the development of a high-speed computational imaging system tailored for hyperspectral imaging. This cutting-edge camera need to be developed to detect Protoporphyrin fluorescence signal
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an on-site cyclotron and dual-energy CT imaging etc.), a rapidly growing imaging post-processing lab (Vision Lab) staffed with dedicated post processing specialists, and a departmental team of experienced
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
scanner to obtain images for use by physicians in the diagnosis and treatment of pathologies. Transfers, positions, and instructs patients regarding the procedure. Selects appropriate imaging techniques
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full complement of Radiology front-end processes including Reception, Image Library, Onsite Scheduling, and Technologist Assistant duties on a rotating basis. · Reception duties include
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full complement of Radiology front-end processes including Reception, Image Library, Onsite Scheduling, and Technologist Assistant duties on a rotating basis. · Reception duties include
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
the approaches (i) and (ii) regarding the prediction of tumour control # Calibrate radiomics software for improved processing of PET imaging # Harmonise PET image processing to reduce the impact of measurement
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consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
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Internal Number: 16446 POSITION RESPONSIBILITIES 1. Management of clinical patient flow on select clinical days2. Management of research subjects during research days3. Performs MRI imaging procedures
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, deep learning-based image methods have emerged as a prominent tool in medical image processing. While they have shown impressive success in various computer vision tasks, their application in the medical