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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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of the collaborative network within the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging advanced programming skills in a high-level
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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-group working on microbubble physics and will contribute to the guidance and supervision of PhD students involved in microbubble production, functionalization, physical modeling, and ultrasound imaging
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the scope of BlueMat, taking advantage of the collaborative network within the excellence cluster Your profile PhD in physics or in a related discipline experience in phase contrast or coherent X-ray imaging
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We invite applications for a Postdoctoral Research Associate position at the University of Cambridge to join the Cambridge Image Analysis group in the Department of Applied Mathematics and
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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resolution imaging facility (incl. two-photon microscopy, 3 to 9.4 Tesla fMRI) for human and animal research purposes, as well as an excellent, multidisciplinary scientific environment. Your profile: PhD in