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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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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Serious musculoskeletal (MSK) injuries sustained during sport—such as fractures, dislocations, and
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Researcher with an interest in big data and genomics to join a pioneering project embedded within the Our Future Health initiative- the UK’s largest health research programme. This post creates a unique
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We are seeking a highly motivated and enthusiastic Early Career Researcher with an interest in big data and genomics to join a pioneering project embedded within the Our Future Health initiative
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applied metrology and robotics. Vision This project addresses the challenge of rapidly and autonomously generating high-precision 3D reconstructions of large-scale complex assets. Uniquely, it integrates
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environment. The post offers a unique opportunity to work on a project utilising the latest AI techniques and large language models (LLMs) for developing data discovery and feasibility tools as well as personal
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surveillance of pathogens through samples such as respiratory infection samples. One such UKHSA project is MScape, which is using deposition of metagenomic diagnostic sequencing data to perform surveillance
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large numbers of patients with epilepsy. We propose to use our open-source EHR database processing and NLP AI data pipeline and toolset to extract this EHR information and structure it. Once in this
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference