11 architecture-technology-"https:"-"https:" Postdoctoral positions at University of London
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through innovative research in the laboratory, in patients and in populations. It is one of six institutes within The Faculty of Medicine and Dentistry (FMD) BCI is internationally renowned in many areas
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dynamic environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and is an
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About the Role Unravelling the tumour matrix to transform immunotherapy response: Cancer immunotherapy has revolutionised treatment, but for most patients with solid tumours, it still fails. Join
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Queen Mary University of London. It is organised into 6 separate Institutes, of which the Blizard Institute is one of the largest, with personnel of c420, financial turnover of c£60 million per annum; and
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challenges for local and global populations; it has a strong commitment to public engagement through its pioneering science education centre in Whitechapel, The Centre of the Cell. The Faculty is firmly
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines
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Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate
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June 2026 Reference 0626-192 Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect