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We have 38 Statistics PhD Research Projects for Non-European Students

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Statistics PhD Research Projects for Non-European Students

We have 38 Statistics PhD Research Projects for Non-European Students

Statistics and AI for Engineering and Smart Manufacturing

Overview. We are thrilled to announce an exceptional PhD opportunity in the dynamic fields of Statistics and Artificial Intelligence, specifically tailored for Engineering and Smart Manufacturing. Read more

Systems immunology and multi-omics approaches to understand protective immunity to human malaria

This PhD project aims to develop and apply computational approaches that integrate systems biology and molecular immunology to understand host-pathogen immunity and predict immune control of malaria. Read more

Hidden Markov models for spatially structured populations

  Research Group: Division of Statistics
Hidden Markov models (HMMs) offer a very powerful, flexible, and efficient structure for likelihood computation. They’re a popular tool for problems… Read more

Exploring synergies between statistical ecology and statistical genomics

  Research Group: Division of Statistics
While superficially different, these two areas of research share several questions in common (How many species? How many of each species? How are the species distributed spatially? How should we sample?) that differ fundamentally only in whether the species in question are flora and fauna or nucleic acids and proteins. Read more

Propagation of uncertainty for signatures of mutational processes

  Research Group: Division of Statistics
There is a trend, especially in cancer research, to i) take a set of DNA mutations ii) cross-categorize them by patient and mutational characteristic and iii) decompose the resulting counts matrix into two sets of vectors – one set representing the mutational impact of specific mutagens and one set representing the exposure of individuals to those mutagens. Read more

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

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