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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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We are recruiting a postdoctoral researcher/Research Associate in Musculoskeletal (MSK) Imaging, with an appropriate level experience in magnetic resonance and signal processing of image data
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We are recruiting a postdoctoral researcher/Research Associate in Musculoskeletal (MSK) Imaging, with an appropriate level experience in magnetic resonance and signal processing of image data
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the Institute. The Institute is built around Fellows and Oxford-GSK project teams located across different departments within the Medical Sciences Division. Projects will initially focus
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. This includes developing and training deep learning models for tasks such as scene understanding, object detection, segmentation, classification, and pose estimation, as well as integrating these models into real
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UNIVERSITY OF OXFORD DIVISION OF CARDIOVASCULAR MEDICINE RADCLIFFE DEPARTMENT OF MEDICINE Research Assistant Grade 6 We are seeking an enthusiastic, motivated research assistant to join our research
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Postdoctoral Research Associate - Exploring cellular mechanisms of arrhythmia in lamin heart disease
The Unit of Cardiac Physiology, Division of Cardiovascular Sciences, within the University of Manchester wish to appoint a laboratory-based Postdoctoral Research Associate to an exciting project
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cell division where the parasite first undergoes multiple rounds of DNA replication and nuclear division and then finally undergoes a specialised form of cytokinesis known as segmentation to produce
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progression. You will become part of the Division of Cardiovascular Medicine based at the Centre for Human Genetics in Oxford. You are required to hold a PhD/DPhil in a relevant discipline and will carry out
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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video