192 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Oxford
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Research (OCMR, University of Oxford) and Oxford University Hospitals Department of Radiology (ORRU), focused on the development and delivery of funded clinical hyperpolarised imaging studies. You will
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30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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sits within the Institute of Biomedical Engineering (IBME) in the University’s Department of Engineering Science and is supported by a £25m 10-year donation to the University. This full-time post is
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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at barrier surfaces. The work will combine advanced flow cytometry, immunohistochemistry, functional antimicrobial assays, confocal imaging and molecular techniques, alongside state-of-the-art imaging
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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candidate will hold a PhD in physics, biophysics, physical chemistry, engineering, or a related area, or have submitted a PhD thesis prior to taking up the appointment. The research requires strong interest
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls
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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential