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. The CT Technologist will be responsible for providing quality diagnostic imaging for medical interpretation. Duties will include operating CT equipment, handling patients, post-processing of images
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contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing. Salary Range: $47,000 - $70,500
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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imaging software, print managing software. Maintains software licensing and renewals. Responsible for maintaining Computer Engineering Lab Equipment-- Maintains and upgrades electronic test equipment
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 22 days ago
23 Dec 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Electrical
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31 Dec 2025 Job Information Organisation/Company University of Oulu Research Field Computer science » Programming Computer science » Other Engineering » Biomedical engineering Engineering » Other
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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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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: Experience or familiarity in one or more of the following: Embedded or real-time software systems Robotics or autonomous systems Computer vision or image-based sensing Controls systems or automation Data
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process