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Field
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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. This project will use large-scale metagenomic mining to uncover novel phage-host associations and identify phage-encoded enzymes, such as endolysins, with antibacterial activity. By integrating evolutionary
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LiDAR and multispectral imageries), and lab analyses. The PhD will benefit from participation in a wider 'large wood' project with over 12-partners (including Environment Agency, SEPA, Natural England
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24 Nov 2025 Job Information Organisation/Company Swansea University Department Central Research Field Computer science Engineering » Aerospace engineering Researcher Profile First Stage Researcher
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Science, or a closely related field. Proficiency and interest in programming languages such as Python, MATLAB, or similar, used for large-scale data processing and model development. Excellent written and
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
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it is driving over a damaged bridge at operational speed. Due to a lack of large, real-world datasets with ground truth labels, the application of data-driven approaches in the indirect damage
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport