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Field
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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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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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29 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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or on the telephone), and as such is of central importance to the image that CJBS presents. The role holder needs to actively engage with the Schools' clients, students, programme participants and visitors to deliver
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Faculty of Life Sciences & Medicine brings together
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–200) desirable, as well as experience in TEM/STEM image processing and simulation using open-source Python packages such as atomic simulation environment (ASE) and abTEM. A willingness to occasionally
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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both King's College London's School of Biomedical Engineering & Imaging Sciences (BMEIS) in the Faculty of Life Sciences and Medicine, and Guy's & St Thomas' National Health Service (NHS) Foundation
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research program that takes advantage of the Total Body PET scanners and other PET Centre facilities in tandem with building collaborations with the Research Department of Imaging Chemistry & Biology working
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways