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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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acoustic data, has shown transformative potential in domains such as healthcare, environmental monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive
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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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because true TIA is an important risk factor for future stroke. However, presentations to primary care for suspected TIA can vary significantly and a large proportion of patients have a low risk of stroke
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be used to efficiently simulate reservoir behaviour over large spatial and temporal scales. Particular attention will be paid to the role of lateral boundary conditions, reflecting whether geological
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for future stroke. However, presentations to primary care for suspected TIA can vary significantly and a large proportion of patients have a low risk of stroke. Hospital TIA services currently struggle
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support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the emergence of large-scale quantum computing poses a significant threat to current
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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diagnostic innovation. This PhD is a great opportunity for anyone interested in applied research, molecular biology, plant science, and working closely with a large UK life science company. You will be