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Field
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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to demonstrate expertise in use, processing, manipulation and compression of raw camera data. Key duties for the role are to conduct in depth research into AI based automotive perception and relationship and
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enable longitudinal, non-invasive imaging of biological processes in living tissues, supporting a diverse range of research areas from developmental biology to oncology, immunology, neuroscience, and
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& Medicine. Department: Res Dept of Cardiovascular Imaging. Contact details:Filippo Bosio. Filippo.bosio@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services. About Us The role
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. Department: Res Dept of Cancer Imaging. Contact details:Dr Thomas Booth. thomas.booth@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services. About Us The appointee will join the
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legislation requirements Desirable criteria PhD in life sciences or physical sciences or equivalent experience. Experience providing training and workshops. Experience in image analysis and processing
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, as well as brain stimulation, and Magnetic Resonance Imaging. They should also possess good analytical and programming skills and experience of signal processing methods. Experience of methods used
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop