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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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imaging analysis techniques in biological systems, including cell and tissue samples. • Familiarity with conventional and machine learning based image processing approaches. • In-depth knowledge
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attending physicians. * Support and advise physicians and technologists on studies with anomalous technical issues. * Troubleshooting of image acquisition, processing and interpretation workstation issues
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assays) and high-resolution imaging approaches and quantifications from both mouse and human brains; mouse brain regional dissections; western blotting; and experiments in various in vitro culture systems
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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neurological diseases. Before PET imaging, a radiotracer is injected into the patient to display metabolic processes in the body. At the Institute for Neuroscience and Medicine (INM-4), we are developing
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radioactive decay. Evaluate recorded images for technical quality. Process computerized image data to include function curves and reconstructed SPECT images. Assume care for physical and psychological needs
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uses an interdisciplinary approach that integrates quantitative microscopy, live-cell imaging, molecular and cellular biology, computational analysis, and cancer model systems to investigate how
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with experience in various fluorescence microscopy-imaging systems. Candidates must have effective oral and written communication skills. APPLICATION PROCEDURE: Apply online at https://uva.wd1
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supports US Semiconductor Manufacturing in overcoming various qualitative and quantitative measurement challenges especially over large areas, as is needed for effective manufacturing process control