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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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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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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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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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normal visual range) to generate detailed 3D images of any patient with high resolution! This is the global vision and targeted ambition of this 2050 proposal. This will allow us to target very early
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research. The university is dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. Through its commitment to exceptional education
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in plant and microbial sciences. We nurture a creative, curiosity-led approach to answering fundamental questions in bioscience, and translate that knowledge into societal benefits.Our strategic vision
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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
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other commonly signals recorded in hospitals. Prior experience in computer vision, biomedical imaging and the analysis of data recorded by wearable devices, body-worn sensors or other flexible wearable
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for motion control integrating the estimates of disturbances, mechatronic integration of end-effectors, vision-based motion control for effective, efficient, and safe motion planning, and developing algorithms