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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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imaging services at all locations. This position manages full spectrum operations to ensure quality, patient care, access and budget goals are achieved; manages continuous improvement of departmental
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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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images for physicians and other health care providers to diagnose, treat, and monitor disease processes in adult and pediatric patients. The incumbent works independently, exercising sound clinical
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on improving patient care and the lives of Arkansans. UAMS offers amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
-Time Add to My Favorite Jobs Email this Job Hiring Department University of Missouri-Columbia College of Arts and Science Department of Chemistry Assistant Professor - Molecular Imaging and Theranostics
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
Add to My Favorite Jobs Email this Job Hiring Department University of Missouri-Columbia College of Arts and Science Department of Chemistry Assistant Professor - Molecular Imaging and Theranostics
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conditions for a rewarding career. The Eddy Lab, Department of Radiology, Faculty of Medicine is seeking a full-time Postdoctoral Fellow to develop novel 129Xe magnetic resonance imaging (MRI) acquisition
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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the vision of a chip-scale, high-power EUV source for applications including EUV lithography and imaging. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven