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all imaging order scheduling via EPIC as well as referral work queue. Assists with outside vendor communications for genetic testing when needed. Monitoring process of orders and financial clearance in
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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28 Feb 2026 Job Information Organisation/Company Université de Montpellier Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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Job Title: Adjunct Faculty - Medical Imaging Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Data Science, Computer Science, Information Systems, Information Science, Business Analytics, Business Administration, Economics, Public Health, or related field, or equivalent combination of education
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tools, cartographic design, image processing, digitization, and data collection (0 to 15 points) ▫ English language level (0 to 10 points) Specific Requirements Requirements: ▫ Hold a Bachelor’s degree or
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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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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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, following departmental policy and procedure. Positions and immobilizes patients according to the treatment plan and effectively evaluates images according to standard guidelines. Mobilizes patients using