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Field
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scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale omics data, digital pathology, using cutting-edge AI and machine
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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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for Computational Psychiatry and Ageing Research. We are now recruiting an internationally recognised leader in the field of imaging-informed cognitive neuroscience to work with some of the world’s leading
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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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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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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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team in partnership with The Christie NHS Foundation Trust and the Division of Cardiovascular Sciences. CRUK RadNet Manchester is an ambitious translational radiation oncology programme that challenges
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researchers from within the School of Biomedical Engineering & Imaging Sciences, the wider Trust and University and across the UK and internationally. About The Role We are looking for an exceptional lecturer
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22 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Educational sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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related field* Experience with multi-modal medical image registration Computer programming skills (e.g., Matlab, Python, C++) Strong academic record, evidenced by publications in peer-reviewed journals and