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We have 65 Applied Statistics PhD Projects, Programmes & Scholarships in the UK

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Applied Statistics PhD Projects, Programmes & Scholarships in the UK

We have 65 Applied Statistics PhD Projects, Programmes & Scholarships in the UK

Incorporating Mixture of Expert Models for Longitudinal Data with Missing and Censoring

  Research Group: Division of Statistics
Longitudinal data analysis is a powerful tool for studying changes in subjects over time. However, the presence of missing data and censoring poses significant challenges. Read more

Stochastic simulation, analysis, and inference of non-linear dynamical systems

  Research Group: Division of Statistics
This project will develop a novel framework for studying the dynamics of systems presenting oscillations and multi-stabilities. This type of dynamics is abundant in many fields and especially in molecular biology, epidemiology, ecology, sociology. Read more

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

Modelling the ecology and evolution of microbial communities

From the human gut to deep-sea sediments, microbial communities – or microbiomes – colonize virtually every habitat on earth. These microbiomes are central to ecosystem functioning and to host health, and therefore it is essential that we understand how and why they change over time. Read more

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

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