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entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic O-arm, Shimadzu portables, GI/GU Procedures, and Siemens equipment. Excellent
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: 283785656 Director of the Light Microscopy Facility Princeton University: Office of the Dean of the Faculty: Natural Sciences: Molecular Biology Location Princeton, NJ Open Date Apr 06, 2026 Salary Range
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
Posting Information Posting Information Department Radiology-Molecular Imaging - 412808 Posting Open Date 04/24/2026 Application Deadline Open Until Filled Yes Position Type Permanent Faculty
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Inria, the French national research institute for the digital sciences | Nantes, Pays de la Loire | France | 1 day ago
24 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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of Biomedical Engineering is seeking an Assistant Research Engineer to lead computer vision and AI development for the VectorCam platform. VectorCam is an AI-enabled mobile imaging system designed to allow
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will provide coverage in Breast Imaging at University of New Mexico Hospital Outpatient Surgery and Imaging Services, Sandoval Regional Medical Center, and Veterans Affairs Medical Center, providing all
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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at the far edge of the computing infrastructure. Given the challenges of limited computation, energy constraints, and communication bottlenecks, there is a growing need to process data locally while ensuring