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placement in job. Demonstrated proficiency with computer skills and software programs used for image examination viewing and interpretation, documentation, and report generation Maintenance and Qualifications
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<b>sciences</b> » Philology Chemistry » <b>Physical</b> chemistry <b>Environmental</b> <b>science</b> » Earth <b>science</b> <b>Computer science</b> » <b>Computer</b> <b>systems</b> <b>Computer science</b> » <b>Computer</b> <b>systems</b> <b>Computer science</b> » <b>Computer</b>...
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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, answering phones, and greeting office visitors. Recognize a coding system and operate the computer and scanner to image and store confidential documents into a database. May assist with other office tasks as
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
6 Jan 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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Technologist will be responsible for providing quality diagnostic imaging for medical interpretation. Duties will include operating CT equipment, handling patients, post-processing of images, working with
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$55,000–$70,000 CAD per year. The Michael Smith Laboratories and the Department of Computer Science at the University of British Columbia (UBC) in Vancouver, Canada, invite applications for a Postdoctoral
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/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks
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6 Jan 2026 Job Information Organisation/Company NLOPTICS Research Field Physics Engineering » Electronic engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher
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teaching faculty in Computer Vision and Image Processing to lead the course, "Machines that see," which introduces students to core computer vision concepts, a vital area of AI. This role involves delivering