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We are excited to offer a fully funded PhD position at the intersection of big data, artificial intelligence, and urban mobility. The rapid development of big data analytics, along with advances in
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available on the topic of “Inequalities in utilisation of novel systemic anti-cancer therapies”. The student will work with “big data” to examine different inequalities (e.g by age, socio-economic position
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EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance Department of Civil and Structural Engineering PhD Research Project
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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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aureus (Orazi et al. mBio 2019). You will apply state-of-the-art, machine learning methods (deep neural networks and evolutionary algorithms) on big-data from thousands of individual bacterial (Lapinska et
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Saba (Northeastern University) Philippe De Wilde (University of Kent) Aligned programme of study: PhD in Philosophy The Project The central question of this PhD project is: What are the capabilities
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and society. It will bring opportunities such as rapid computation of large, unsorted data sets, rapid training of AI models, higher capacity Lithium-ion batteries. With these profound opportunities
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transition of weaning, but the molecular mechanisms are not well understood. This project, using data and microbial isolates from a large cohort study of infants, will aim to unravel the mechanisms used by
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September 2024. This funding is for UK students and those with settled status. We have an exciting opportunity for a PhD student with an interest in data analytics to join our team working on the BBSRC funded