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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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at barrier surfaces. The work will combine advanced flow cytometry, immunohistochemistry, functional antimicrobial assays, confocal imaging and molecular techniques, alongside state-of-the-art imaging
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the School of Biomedical Engineering & Imaging Sciences, King’s College
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biophysics, and cutting-edge analytical technologies. Your expertise in optical microscopy, single molecule imaging, computational imaging and data analysis will help us further develop mass photometry and
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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cast and AM test parts, take acoustic pressure measurements and perform in-situ high speed imaging to study failure mechanisms complemented by microstructural characterisation and analysis. Experiments
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Research (OCMR, University of Oxford) and Oxford University Hospitals Department of Radiology (ORRU), focused on the development and delivery of funded clinical hyperpolarised imaging studies. You will
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applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to describe and quantify the spatial characteristics and cellular interactions associated with colorectal response
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anion photoelectron spectroscopy (imaging) both in the time and frequency domains. The research project aims to exploit these methods to develop an understanding of electron-driven chemistry of water