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research. We are seeking an Image Processing Technician at 0.4 FTE (two days per week) to provide computational and technical support for the SPIRO imaging research portfolio. The postholder will curate and
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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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Overview An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of
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image processing and artificial intelligence to engage in cutting-edge, multi-modal cancer imaging research as part of the Sheffield Platform for Imaging Research in Oncology (SPIRO) at the University
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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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. Department: Res Dept of Imag Phys & Eng. Contact details:Shaihan Malik. shaihan.malik@kcl.ac.uk Location: St Thomas Hospital. Category: Research. About Us The post will be based at St Thomas’ Hospital in
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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physiology, root biology or plant–environment interactions. • Experimental approaches to studying internal plant environments or spatially structured biological processes. • Imaging, sensor-based measurements