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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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must hold a Masters or PhD in a relevant field such as cardiac imaging, biomedical engineering, computer science, Physics, or a related discipline. Prior experience in MRI research, including working
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of optics and photonics, either providing complementarity to existing activities, particularly in optical systems engineering, optical manufacturing, photonic devices and materials, optical imaging and
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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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highly computer literate, with demonstrable experience in using common software applications e.g. MS Word, Excel, Outlook, Adobe Acrobat, and have the ability to learn quickly and use specialist software
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for expertise in AI-driven fetal brain imaging, clinical obstetrics, pregnancy physiology, and global health technology innovation, particularly aimed at low- and middle-income countries (LMICs). The primary
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of functional brain imaging (preferably MEG or EEG) data. With an interest of scientific research into brain science and technologies, you will hve an excellent working knowledge of computers and databases
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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-time for 12 months About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and
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, immunofluorescence, cellular biochemistry, proteomics, and image-based analysis. There’s also scope to expand into computational biology, high-content imaging analysis, and data-driven modeling, depending on your