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using fine motor skills. Dependability. PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
, applied technical expertise, and research partnership to design, prototype, and scale data and AI enabled technologies in support of SDSS faculty research programs. These technologies may include research
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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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will serve as a key member of a multidisciplinary research team including cardiologists, geneticists, imaging specialists, research coordinators, and nurse practitioners, but this position will be
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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and take ownership of work Interest in AI, machine learning, image/audio processing Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408369/research-engineer-r… Requirements
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photogrammetric software, and surveying instruments. Able to use GIS software (ArcPRO, QGIS), use of Matlab/Octave, drone processing software like PixElement, Pix4d, image processing software like iWitness A drone
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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an accurate and timely manner Adhere to research regulatory standards Grade ocular imaging for image biomarkers Annotate/label ocular imaging to develop artificial intelligence (AI) algorithms for image
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements