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systems for the acquisition of multi-angle observations of scenes with reduced revisit times, with particular reference to 3D tomographic imaging applications and to the integration, through artificial
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
Genres applicants must be able to teach across artistic mediums including moving image, sound, performance, installation, hybrid, and emerging art forms. The New Genres Area curriculum includes moving
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. The researcher will lead the automation of image acquisition on the aberration-corrected Spectra 200 (S)TEM located in the Cardiff Catalysis Institute (CCI). They will write code to automatically acquire hundreds
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DEPT OF RADIOLOGY - CLINICAL IMAGING PHYSICIST Requisition # 75884 Position Basics Type of PositionOTHER Advertising Ends on:Extended Until Position is Filled Advertising Started on:Monday, March
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Archive (VNA), Enterprise Image Viewer, and other imaging post-processing systems. Collaborates with UCSF Clinical Systems in developing patient-centric imaging solutions and procedures. Manages Service
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assist with mouse colony maintenance and genotyping, immunohistochemistry, confocal imaging, cell culture experiments and maintain laboratory supplies. This person will participate in data collection and
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of Radiology is a 24-hour, seven day a week operation providing Imaging Services to adult and pediatric inpatient and outpatients. The Computed Tomography section of Radiology performs a variety of diagnostic
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emphasis on severe childhood asthma, integrating clinical, biological, and imaging data through quantitative analysis and artificial intelligence. Research activities include medical image processing
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targets for future NASA flagship direct imaging missions, as these are the prime candidates for directly imaging exo-Earths. Surveying these stars with ground-based extremely precise radial velocity (ERPV
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of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale