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functionality. To explore the advanced materials, including MXene-based and other functional nanomaterials, for improved electrochemical performance. To investigate the smart, programmable electrodes that adapt
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studied using MDA-MB-231 and MCF-7 breast cancer cells, and a normal breast cell line MCF-10A. Cell viability assays, colony formation, and flow cytometry analysis will be used to assess the anti-cancer
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integrated with human expertise, leading to enhanced system performance and sustainability. The project aims to create a foundation for systems that can evolve autonomously while benefiting from continuous
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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have a leading programme of research into creating synthetic mimics of IBPs, understanding their function, and deploying them in healthcare and biotechnology - for example storing cells and tissue
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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agents into the cells, polymers to stabilise the membranes and the precise control of ice growth. We will use conventional as well as high-throughput technologies, including our in-house platforms
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dysfunction in Alpers’ syndrome. The student will receive training in a wide range of techniques including tissue culture, immunofluorescence and quantitative microscopy, metabolic assays, and data analysis