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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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intervention for children and families. Core responsibilities Coordinate the design, implementation, and evaluation of AI-enabled facial image analysis within a large-scale longitudinal child health study
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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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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Radiology - MRI Full Time 87158BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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opportunity for a INTERVENTIONAL RADIOLOGY TECHNOLOGIST WORK SCHEDULE • FULL-TIME; 100% FTE; 40 HOURS PER WEEK • Day Shift DEPARTMENT DESCRIPTION • Advanced imaging and diagnostic services in North Seattle
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» Computer engineering Engineering » Simulation engineering Researcher Profile Recognised Researcher (R2) Application Deadline 15 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job
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may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/. The University, at its
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appreciated for its amenability to live imaging and functional genomic screens, to tackle some exciting questions in the field of neuroimmunology, including: How are signals of extracellular stress transduced
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to neural time-series and imaging data using MATLAB tools and python. Design, develop, and implement computer algorithms and software for analyzing multimodal neural data, including EEG and optical imaging
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directly from radiomic features captured during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines