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Field
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. The Department of Circulation and Medical Imaging has a vacancy for a PhD
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and Computer Engineering. Additional information about the facility is available through the USC Core Center of Excellence in Nano Imaging (opens in new window) . CORE DUTIES & RESPONSIBILITIES Provide
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• SLAM, autonomous driving and mobile robotics • Remote sensing, image/video processing and computer vision • Object detection, tracking and classification using deep learning • Monitoring
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
and outside UNC-CH. Minimum Education and Experience Requirements Doctoral degree (PhD or equivalent) in biomedical engineering, computer science, biomedical data science, physics, computational
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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engineering, or a closely related field. Experience in one or more of the following areas is desirable: optical system design, OCT, microscopy, laser-tissue interactions, ultrafast lasers, image processing
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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of the Department of Bioengineering, College of Engineering, School of Medicine, and University. Successful candidates will be expected to participate in the Department’s undergraduate, Master’s, and PhD programs and
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, prototype development, prototyping, and engineering support to companies and innovators, ensuring timely milestones, risk mitigation, resource allocation, and cross-functional coordination. Track participant