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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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to solve problems, support new investigations and follow-up experiments in the laboratory. You will support appraisal of scientific experimentation with numerical and statistical analysis, and work
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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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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 distortion events was developed whereby