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Field
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in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods
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Modern deep learning techniques achieve human-like performance in many medical image analysis tasks, including the identification of anomalous tissue/pathology from medical scans. To be trained
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms
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world leaders in precision medical imaging. Research placements of up to six months at Queensland are an integral part of the PhD. This studentship, with Nottingham’s flagship Additive Manufacturing
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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include large-scale and multi-modal medical data curation (imaging and non-imaging, clinical data entries), understanding and development of deep learning model (both convolutional networks and vision
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from individuals with a degree in a field of mathematics, science, engineering or medical sciences related to the ICFO research activities. Our PhD-program brings together top-level training and teaching
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to achieve improved control of cavitation activity in medical therapies. By combining advanced interface-resolving imaging and advanced pressure- and stress-field measurements, this research will
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PhD and/or postdoc positions in Cognitive NeuroscienceThe research focuses on combining neuroimaging and behaviour with computational models to understand how the human brain learns and uses