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to £44,906 per annum Are you looking for an opportunity to create significant impact and influence across a new large data set? We are offering a unique opportunity to drive the development, capture and
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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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, intranet, research systems and student information systems (e.g. SITS) would be welcome. You’ll be tenacious, have excellent communication skills and demonstrate a flexible, enthusiastic and positive
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also have some expertise in business analysis techniques, such as ‘as is’ and ‘to be’, and swimlanes. Specific project experience of CRM, intranet, research systems and student information systems (e.g
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, energy conversion) in one compact cycle, offering advantages over traditional incineration and large-scale plasma plants. This role, based at Cranfield University, will involve developing suitable CFD
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diverse tasks such as data analysis and test management, will be key to your success. We welcome less experience individuals who are eager to develop within the role, as well as Business Analysts with
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of insect pollinators from large-scale photographic and video datasets. The research will integrate ecological fieldwork, computer vision and stakeholder engagement to: 1.Develop and optimise deep learning
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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coefficients. This strategy carries large uncertainty and requires vast amount of expensive and time-consuming experimental data. Worse, sometimes the experimental data is simply inaccessible. The need for cost