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imaging analysis. Application Procedure: Apply by submitting your application to our online RECRUIT system at Browse Open Recruitments or Log In - UCLA Academic RECRUIT Screening of applicants will begin
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will be responsible for meeting the highest standards of customer service including, exhibiting a professional and positive image when interacting with patients, faculty, and staff. What perks and
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Description: Support research projects focused on virtual imaging trials, computational modeling, and imaging technology evaluation. Manage, curate, and analyze experimental and simulation datasets. Evaluate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Information Department Radiology-Molecular Imaging - 412808 Posting Open Date 04/20/2026 Application Deadline Open Until Filled Yes Position Type Permanent Faculty
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techniques and genetic analysis is required. Previous experience with C. elegans genetics, computational analysis of genomics and imaging data would be a plus. Superior verbal and written communication skills
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, Davis PCN, Same Day Surgery, Midtown Clinic, Davis Student I-health and satellite facilities. The incumbent operates various types of x-ray equipment* fluoroscopic x-ray equipment, computer radiography
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to the understanding of health and disease through our diversity, equity and inclusion initiatives, imaging and imaging technology-related clinical and basic science research. The department's missions focus
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Number: 7068272 Assistant/Associate/Full Professor in Veterinary Diagnostic Imaging Online applications must be received before 11:59pm on: May 3, 2026 If a date is not listed above, review the Applicant
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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the dynamics of potentially illegal waste deposits. The research will apply deep learning and computer vision techniques to identify regions within an image where there is an increase or decrease in