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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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, Saturday and Sunday from 8:00 am – noon, and Holiday 10 hours on-call coverage for emergent procedures. The tech develops and maintains CEU’s, registry, and skill level; Provides sonographic imaging
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Apply Now Job Summary The Clinical Documentation Specialist (CDS) is responsible for applying their knowledge of medical terminology, risk adjustment, and coding to ensure appropriate capture
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-Experience participating in cardiology research projects. -Specific training and experience in cardiac imaging. -Knowledge of genetics in cardiology. -Proficiency in bibliography management software
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: 6562128 Hospital Assistant I - CAC - Imaging - FT - Day Req ID: 110067 Location: Irvine, California Division: Medical Center Department: CAC - Imaging Position Type: Full Time Salary Range Minimum: USD
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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University of California, Los Angeles | Santa Monica, California | United States | about 14 hours ago
JOB DUTIES Description With your passion for solving clinical mysteries and our comprehensive imaging capabilities and sophisticated technology, you can experience an exciting and rewarding
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University of California, San Francisco | San Francisco, California | United States | about 15 hours ago
assigned areas at a safe and technical level not requiring constant supervision. Tech will perform safe imaging procedures on all emergent, inpatient and outpatient age-specific populations. Diagnostic
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degree in Environmental Engineering or Geological Engineering Proven experience, demonstrated by a (digital) portfolio, in projects involving image acquisition by Unmanned Aerial Vehicles, non-planar
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borehole acoustic images from carbonate reservoirs in Brazil's pre-salt. The methodology will emphasize not only the pixel-wise classification but also the incorporation of semantic relationships between