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the mechanistic details of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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assess how effectively imaging techniques capture or enhance the taxonomic resolution of traditional net sampling. Training You will gain skills in plankton taxonomy, image processing, ecological
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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
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. Description of PhD Project The PhD project “Monitoring Anterior Segment Perfusion and Oxygenation During Strabismus Surgery” aims to develop and evaluate non-invasive imaging techniques for real-time monitoring
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pathways. Are you ready to dive into the how, using cutting-edge imaging techniques? Then the Department of Earth Sciences is looking for you! We would welcome a highly motivated and ambitious applicant
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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A competition-funded PhD studentship is available in the School of Chemistry at the University of Birmingham to develop and apply nuclear magnetic resonance spectroscopy and imaging to advance
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About Us The applicant will join the new 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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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand