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sensors and readout electronics, SPECT, PET, and X-ray imaging instrumentations, image and signal processing techniques, pre-clinical and clinical applications. Develop new research areas to include
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics
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settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research at Swansea University (Richard Johnston), building on decades
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procedures. Evaluate CT scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients for procedures; assist
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interventional CT procedures. Evaluate CT scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to Image Archival System. Schedule patients
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Investigating the role of Ect2 in pancreatic cancer cell proliferation and motility School of Biosciences PhD Research Project Self Funded Dr Helen Matthews Application Deadline: Applications
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
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implement advanced experimental methodologies, including Neuropixels recordings and in vivo optical imaging. Identify and develop strategies to enhance data acquisition and processing efficiencies, ensuring