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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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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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immunohistochemistry, along with experience in experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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imaging in medicine is a secondary target. Led by Prof. Wiaux, the project is supported by a unique team of international partners: Prof. Pesquet from the Digital Vision Centre at Université Paris-Saclay
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new paradigm of deployable nanoelectronic devices with unprecedented efficiency and scalability that can be used ubiquitously towards ultra-low energy QC, AI, and neuromorphic computing systems
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of the line manager. To design and develop novel and cutting-edge machine learning, computer vision and image processing frameworks for tasks such as object detection, segmentation, pose estimation, scene
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vision for future research and practice in the visual and material medical humanities. We understand visual and material to refer to both artefacts (including but not limited to images, objects and