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whole tumour while leaving in place as much healthy tissue as possible (tissue conserving surgery). This surgery is challenging because surgeons lack accurate imaging tools to assess the surgical margins
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School of Engineering to deliver this ambitious research. Previous experience in optics, image processing and coding is desirable. Number of awards: 1 Start date: 22nd April 2024 Award duration: 3-years
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2024. The projects will be based around the development of advanced magnetic resonance techniques to optimise heterogenous catalysts and the operation of the reactor in which the catalysis occurs. Two
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opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning, as well as image-based
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have the opportunity to apply machine learning image processing techniques to guide theory with experimental analyses. Your research will lead to new discoveries and a close interaction with our
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. The projects will be based around the development of advanced magnetic resonance techniques to optimise heterogenous catalysts and the operation of the reactor in which the catalysis occurs. Two projects
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and provide a second opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning
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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who
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cycles per year!), whilst ensuring optimal cardiovascular function for the patient. This project proposes to integrate state-of-the-art image-based measurement techniques with computational models for a
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into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who are motivated, curious and passionate about scientific research. Together we will make technological