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About Us The School of Biomedical Engineering and Imaging Sciences is an interdisciplinary School dedicated to the development, clinical translation and clinical application of medical imaging
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PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python/PyTorch skills, experience with
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inference workflows that can process DICOM-derived imaging at scale, generate structured quantitative outputs and operate within approved secure research computing environments. Link RAIDA-derived CT
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About Us The School of Biomedical Engineering and Imaging Sciences is an interdisciplinary School dedicated to the development, clinical translation and clinical application of medical imaging
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closely with the PI Isabel Christie, you will acquire hypothesis-driven data. Building upon established tracer kinetic models and prior research at Sheffield, you will tailor image processing methods
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configurations. Design, prototype and validate EM sensors and arrays for defects and materials. Develop sensor-interface electronics and multi-channel data acquisition, improving the real time hardware and
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Capsule-Size Therapeutic Devices for the Gastrointestinal Tract School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Dana Damian Application Deadline: Applications
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior