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evaluates Ultrasound images to determine that they are satisfactory for diagnostic purposes and assesses need for further views - Performs quality assurance checks on equipment and processes per department
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-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, participates in clinical and non-clinical research, and provides images, data analysis, and patient
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Classification Title: Assistant Professor Job Description: The University of Florida Department of Neurological Surgery invites applications from qualified individuals for a full-time, tenure-track
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82100 Student Employee Student Pay Grade 999 Hourly Wage/Salary 13.00 Job Summary/Basic Function This job will involve training for Computer Repair or Computer Acquisitions for the Technology Support
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computer labs, administrative computers and other technology hardware for Student Affairs units. Field Support Field support for workstations, printers and other peripheral hardware for residential computer
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, molecular biology, biochemistry, microscopy, and image processing and analysis. May coordinate, influence, or review the work of others which could include oversight of undergraduate students. Will perform
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in physics or engineering including wave physics and signal processing Expertise in flow quantification and mapping with ultrasound imaging mandatory Extensive experience in programming (Matlab and C
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digital intra-oral and extra oral radiographic imaging (e.g. cone beam computed tomography, and bitewing, periapical, occlusal and panoramic views in analog/film and digital/plate/sensor formats). Review
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical