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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE52770 Working Title Radiology CT Tech nights Department Name H6250:Imaging Services Work Location Lexington, KY
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such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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Posting Summary Logo Posting Number RTF00050PO26 USC Market Title Associate Scientist Link to USC Market Title https://uscjobs.sc.edu/titles/156374 Business Title (Internal Title) Associate
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business processes across industries. Major Responsibilities Perform all instructional duties necessary to teach and facilitate student learning in assigned courses Provide course outlines and instructional
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, manufacturing techniques, electrical safety, and prototype guarding as needed. Supervise the Rapid Prototyping lab. Create safety policies and procedures to ensure the safe operation of the facility. Coordinate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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(immunohistochemistry/fluorescence, in situ hybridization) and emerging spatial transcriptomic technologies coupled to a robust image capture and semi-automated image segmentation pipeline to enable the large-scale
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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primary liaison for patients and families, addressing escalated clinical, logistical, and financial concerns Ensure accurate collection and transmission of medical records, imaging, and reports Coordinate
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will