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artificial intelligence and look forward to welcoming ambitious new members to our team. The research program of the group lies in the intersection of AI and medical ultrasound imaging. The paradigm shift
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artificial intelligence and look forward to welcoming ambitious new members to our team. The research program of the group lies in the intersection of AI and medical ultrasound imaging. The paradigm shift
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laboratory by identifying any requirements for computer-aided design equipment and equipment for rapid prototyping Identify suppliers for all the consumables and components required to prototype RF coils Setup
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, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical/research setting; gross anatomy
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(Certified Nuclear Medicine Tech) or ARRT Nuclear Medicine (American Registry of Radiologic Technologists) Clinical Ladder State- of -the- art- technology Join the Duke Health Nuclear Medicine Team! https
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the lab will be possible for students with an appropriate profile. Project description: X‑ray Computed Tomography (CT) is a central clinical imaging technique whose diagnostic performance relies heavily
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Ph.D. in electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from
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8 Apr 2026 Job Information Organisation/Company Université Savoie Mont Blanc Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
Center to acquire, store, report, and distribute imaging studies. The incumbent must have expert-level imaging informatics, leadership, and communication skills. The final salary and offer components
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can be viewed at the following websites: NTU : www.ntu.edu.sg ADM : www.ntu.edu.sg/adm Application Procedure: Please login to the following web page to submit your application : https://ntu.wd3