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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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Open to: UK fee eligible applicants only Funding providers: EPSRC and LaVision UK Ltd Subject areas: Biomedical Engineering, Experimental Mechanics, Image-Based Measurements, Biomechanics Project
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develop advanced nano-imaging and nano-sensing technologies, enhanced by AI analysis, to study viral infection in real time at the cellular and nanoscale level. This interdisciplinary research combines
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experience includes: Nano-imaging or sensing methods Optical or vibration detection technologies AI/machine learning for imaging and sensing Background in biology, microbiology, or biomedical sciences
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increased healthcare end-user and accessibility demands. Imaging is a crucially important aspect in many scientific fields, with it being of particular importance in life-sciences and biomedical imaging
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increased healthcare end-user and accessibility demands. Imaging is a crucially important aspect in many scientific fields, with it being of particular importance in life-sciences and biomedical imaging
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molecular switches that could be targeted by anti-fibrotic drugs. You will master • genome editing, • human iPSC culture and directed differentiation, • live cell biomechanical imaging, and • multiomics
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available