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at the intersection of engineering and clinical medicine. You will lead the development of computer-assisted methods to support orthopedic applications, including diagnosis, surgical planning, and postoperative
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Communications (Research at EEE ). The successful candidates shall possess: A primary degree and PhD in Electrical/Electronic/Computer Engineering, or a closely related discipline; Experience in third level
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response evaluation core lab) and advanced image processing lab, and support from three physicists who provide expertise for all imaging modalities. There is a major effort to incorporate artificial
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imaging systems, communication systems, mining operations, and infrastructure inspections. Key responsibilities will include: Research: Develop processing methods for electromagnetic medical imaging using
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients for procedures; assist with clerical functions. Charge procedures
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Medical Image Processing, ultrasound/MRI/CT imaging, or a
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent