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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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Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences
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laboratory and imaging services, a pain clinic, 24/7 emergency care, community outreach, and education programs. This position will primarily serve a combination of our in patient and outpatient populations
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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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and biomaterials research within the Lab. This experimentally focused PhD position will fit a wide range of application interests, suitable for applicants from all engineering and scientific backgrounds
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that unveil the unseen. analyse complex data to uncover insights and pioneer new strategies for molecular sensing and imaging. We’re looking for someone who brings: A PhD in chemical biology, organic chemistry
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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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, clinical applications, addressing cancer’s social determinants, lowering barriers to UK SMEs, catalysing innovation and positioning the UK as a global leader in the dynamic healthcare and AI ecosystem. About
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This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures is coordinated by LINXS Institute