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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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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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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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to develop strategies that lead to Net Zero requires that the relevant data is combined together to form big data sets that can be used in machine learning. Large data sets are stored in a variety of
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of Big Data and remote sensing in animal management, is revolutionising the way we understand animals, their interaction with the environment and, crucially, how we farm sustainably. In
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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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-based Tensor Processing Units (TPUs) engine with massive on-chip global buffers for data-stationary. Systolic Array (SA) architectures with novel spatial dataflows will be utilized, at a large scale, for
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in data science, AI and statistics; in ethics, governance, and responsible innovation principles related to the use of big data and AI; and in a range of environmental challenge domains. After initial
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: The overarching aim is to enhance drug effect understanding through improved PK/PD predictions using Machine Learning (ML) and leveraging standardised and centralised big data. The distinctive feature is the