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process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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the imaging process. They work closely with radiologists and other healthcare professionals to accurately capture and interpret breast images for early detection of breast cancer. Their primary duties include
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apply for Adjunct Faculty, Department of Electrical and Computer Engineering at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact
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, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
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Technologists Licensed by the State of Arkansas in Radiology Technology Additional Information: Responsibilities: Operates and positions radiologic equipment to produce images of the body for diagnostic purposes
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effects using MRI in the exciting and emerging field of psychedelic medicine (https://adaptroadmap.org). The other half of this position will focus on imaging and behavioral studies of populations at risk
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California State University, Los Angeles | Los Angeles, California | United States | about 13 hours ago
: The College of Engineering, Computer Science, and Technology (http://www.calstatela.edu/ecst) offers ABET-accredited BS programs in Civil, Electrical, and Mechanical Engineering and Computer Science, and BS
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, room temperature TEM and cryoEM/ET, single particle analysis, tomography and advanced image analysis pipelines. The CCF is hosted by the Faculty of Health and Medical Sciences (SUND) and aims
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California State University, Los Angeles | Los Angeles, California | United States | about 13 hours ago
College: Engineering, Computer Science, and Technology (ECST) Position Title: 2026-27 AY Lecturer Pool - Electrical and Computer Engineering (ECE) Department of Electrical and Computer Engineering
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in