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multiple imaging modalities—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old
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Collaboration. The primary focus of this post will be the development of computational pipelines for the automated extraction and discovery of image-derived phenotypes (IDPs) across multiple imaging modalities
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be part of a team led by Dr. Steiros (Imperial), and co-led by Prof Cal (Portland State - PS) and Prof Calaf (Utah University - UU). Multiple PhD students will also be employed in the project
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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, imaging, and 3D tissue model establishment will be essential to the role. Application Process If you would like to discuss this role, please contact Prof Eric O’Neill at eric.oneill@onccology.ox.ac.uk
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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will increase to Grade 6. Desirable criteria Experience in cellular cryo-electron tomography sample preparation, data collection and image processing Experience in focussed ion-beam milling (FIBSEM
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science before applying for a further study (e.g., PhD). There are multiple opportunities for training in research methodology and theoretical knowledge. The Centre for Brain and Cognitive Development (CBCD
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of Oxford is a leading centre for biomedical research and education. Our mission is to advance discovery science by reconstructing physiological processes at molecular, cellular, tissue, and systems levels
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Experience in cellular cryo-electron tomography sample preparation, data collection and image processing Experience in focussed ion-beam milling (FIBSEM) for for cryo-ET Experience in light/fluorescence