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Field
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of innovative solutions for next-generation sensing and imaging systems. The role requires the experimental design and operation of photonic and optoelectronic platforms, collaboration with research teams, and
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physicists and engineers, and alongside clinical partners at Sheffield Teaching Hospitals and Sheffield Children’s Hospital. Main duties and responsibilities Develop AI-driven analysis and image reconstruction
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ultrasound sensors, a technology first pioneered by the University College London Photoacoustic Imaging Group. Their primary areas of investigation will be increasing the performance of Fabry-Perot sensors in
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basis and allows trainee to work with advanced image processing software. Our equipment base includes most advanced Siemens MRI and CT systems including Dual Source CT technology as well as 1.5T and 3T
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
high number of coronary CT angiograms on a daily basis and allows trainee to work with advanced image processing software. Our equipment base includes most advanced Siemens MRI and CT systems including
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of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically qualified with full GMC registration with license to practice in
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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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Primary Purpose: Canada is developing three satellite instruments, TICFIRE (Thin Ice Cloud and Far InfraRed Emissions), ALI (Aerosol Limb Imager) and SHOW (Spatial Heterodyne Observations of Water
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involve both independent and collaborative research activities. Approaches used will include biochemistry, molecular biology, genome engineering as well as imaging-based methods. An acceptable DBS check is
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University of Stavanger invites applicants for a PhD Fellowship in information technology applying artificial intelligence in medical imaging at the Faculty of Science and Technology, Department of Electrical