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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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microscopy analysis -e.g. FlowJo and image J and software for their quantitative analysis- would be essential. About the School/Department/Institute/Project The position is within the Centre for Biochemical
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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on investigates the materials science surrounding liquid crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater
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. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive
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researchers have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
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focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging
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methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training