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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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term until 30 September 2026 About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular
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the rehousing of the reserve collections. Furthermore, you will look after visitors to the collection, respond to inquiries from scholars and the public, deal with image requests, advise on acquisitions 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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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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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