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competency and ability to support Imaging Informatics system interfaces. Req Working level knowledge of Imaging Modalities (XR, US, MRI, CT, Nuclear, Mammo, EKG). Req Strong analytical ability to find
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
of investigators with diverse yet complementary expertise, including imaging acquisition (MR, PET, SPECT, CT, ultrasound, and optical imaging), image analysis, imaging statistics and informatics, imaging hardware
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Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering, and Digital Twins for Healthcare. Our staff and students comprise physicists, chemists, biologists, engineers, computer
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collections using appropriate equipment and ensuring that images meet established quality standards; Post-processes images and creates derivative files; Participates in the management of the scanning queue and
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
Job Description POSITION ANNOUNCEMENT Faculty – Imaging Sciences Master of Science (MS) in Imaging Sciences Program Department of Health Sciences POSITION: Faculty Imaging Sciences Program
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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. Maintains thorough knowledge and understanding of imaging technology employed in their section including theory of operation and rationale of QC procedures performed. The schedule for this position will be
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toolchains that support airborne and underwater imaging platforms. Data Processing and Scientific Computing • Develop and operate data pipelines for processing multispectral and fluid lensing datasets
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Engineering, Imaging Physics & Engineering, and Digital Twins for Healthcare. Our staff and students comprise physicists, chemists, biologists, engineers, computer scientists, mathematicians and clinicians