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regarded. Dissemination of findings through publication is an essential aspect of these positions. The selected candidate will collaborate as part of a cohesive unit to: Design, develop, and experimentally
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The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
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on investigates the materials science surrounding liquid crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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cytoskeletal proteins are used by disease-relevant organisms. We have access to excellent facilities such as the Central Oxford Structural and Molecular Imaging centre (COSMIC), as well as the Micron imaging
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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architecture and hardware security, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university
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-oncology and early detection research. Your position will be embedded in the CCC’s Advanced Microscopy Development Group, led by Dr Simon Poland and based in the purpose-built laser and microscopy