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receive core training in project management, data management and security, statistics, academic writing and presentation skills. The successful candidate will also have the opportunity to access a wide
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excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield Manufacturing
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related discipline. This project would suit individuals from a variety of backgrounds such as machine learning, statistics, and economics. Candidates with experience or keen interest in predictive modelling
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world-leading or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics
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the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield Manufacturing is one of eight major themes at Cranfield University
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excellent mathematical/statistical skills, with excellent reporting and communication skills. It is also expected that you will be self-motivated, a problem-solver, an independent and a team player. Funding
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are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
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the quantification of the unsteady swirl characteristics of a complex intake along with statistical analysis of the distortion metrics in the temporal and frequency domain. In addition, a new taxonomy of unsteady
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Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield Manufacturing is one of eight major themes
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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