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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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and scalable. Design and build a technology demonstrator prototype of clinical-testing grade. Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and
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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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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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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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controlling our behaviour as individuals, and coordinating our behaviour in groups – but we don’t know how interaction with others changes our metacognitive states of mind, and how these mental processes can
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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composition and microstructure of the alloys has to be tightly controlled as impurities during processing forms damaging microstructural defects and secondary phases. It is possible to add refiners and