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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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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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leveraging standardised and centralised big data. The distinctive feature is the integration of nonlinear mixed effects (or multi-level) modelling of time-series (repeated measure) data in combination with ML
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prediction, focusing on large river basins in Africa, Asia and South America Assemble and harmonize large sets of hydro-climatic data Contribute to research proposals and writing bids for research grants Write
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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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properties linked to classes of degrees such as the uniformly intro-enumerable ones. A big open question in this area is whether every almost-total enumeration degree is graph-cototal. Background knowledge in