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We have 39 Statistics PhD Research Projects for Non-European Students

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Statistics PhD Research Projects for Non-European Students

We have 39 Statistics PhD Research Projects for Non-European Students

Stochastic modelling and inference for live-cell gene expression time-series data to unravel the mechanisms of stem cell differentiation

  Research Group: Division of Statistics
This project will develop statistical methodology for noisy time-series data and stochastic computational models to analyse live-cell imaging data provided by the lab of our collaborator Dr Cerys Manning at the University of Manchester. Read more

Identifying complex spatio-temporal biomarkers of brain diseases

  Research Group: Division of Statistics
Bayesian models today are providing the tools to explore the complexity of brain architecture. Therefore, there is a crucial need for leading researchers with an in-depth comprehension of the current challenges in neuroscience and the quantitative skills to develop cutting-edge solutions. Read more

Quantifying Trade-Offs Between Simple and Complex Models for Decision-Making

  Research Group: Division of Statistics
Policy-makers in conservation and health frequently rely on relatively simplistic statistical models to inform their decisions. There are good reasons for this. Read more

Statistical ‘omics on graphs

  Research Group: Division of Statistics
The field of statistical genomics (and related omics) is rapidly accepting that graphical models have a role to play in addressing the complexity of the molecular systems being investigated. Read more

Distance sampling with milder assumptions

  Research Group: Division of Statistics
Estimating animal density or abundance is a fundamental challenge in statistical ecology. Distance sampling is a widely employed method for addressing this issue. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more

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