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PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
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to analyse next-generation spatial transcriptomics data, advancing our understanding of cardiac ageing and disease. Background: Spatial ‘omics methods measure gene or protein expression in their native context
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today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
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PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
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, with rich clinical, dietary, environmental, and socioeconomic data. Using metagenomics and untargeted metabolomics, you will identify microbial species, pathways, and metabolites associated with PD, and
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synthesis, qualitative interviews with key stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will
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stakeholders and an analysis of TIA clinic data you will help to understand how stratification might assist in delivery of more appropriately targeted care. You will develop mixed-methods expertise and join Dr
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mechanisms for 6G networks, with a particular focus on delay-sensitive and resource-constrained IoT applications. The research will examine the suitability of NIST-standardised post-quantum cryptographic (PQC
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Systems: Here, you would combine advanced microcontrollers, power and data transmission systems to create a subcutaneous control unit for bionic vision. Bionic Vision Biophysics: Here, you will explore
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overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural