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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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devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
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supporting international policy goals for deep-sea biodiversity protection. Research methodology This project will combine seafloor visual survey, targeted sampling and AI-assisted image analyses to: Define
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larvae, with their translucency, provide a powerful platform for live imaging of cell–cell interactions at subcellular resolution. Using lineage-specific fluorescent reporter fish, we have observed close
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salts and additives organise around Zn2+), Materials synthesis and coating design, and Full electrochemical testing in coin cells. By the end of the project, you will have created and tested prototype
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climate law applies to military operations and how international humanitarian law applies to climate impacts, Providing a clearer picture of existing legal norms and policy initiatives, whether
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systems, providing early detection of adverse events such as infection and inflammation. The project will involve sensor design and modelling, prototype development, electrochemical characterisation, and
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of Arts hosts CREAM, a leading centre for research in moving image, photography, visual arts, fashion, and music. Projects exploring sustainability, ecology, and global perspectives in art and media
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Revolutionising Infection Diagnosis Through Targeted Radiometal Imaging Background of the Project: People with conditions like heart disease, diabetes, cancer, organ transplants
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an industry partner which is developing image-based interventions to support people living with dementia. Their interactive platform presents images that serve as prompts for reminiscence, social connection and