#### We have 14 Mathematics PhD Projects, Programmes & Scholarships for Non-European Students in St Andrews

Discipline

Mathematics

Location

St Andrews  United Kingdom

Institution

All Institutions

PhD Type

All PhD Types

Funding

I am a non-European student

# Mathematics PhD Projects, Programmes & Scholarships for Non-European Students in St Andrews

### 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

### Movement through space and time, realistic movement for species abundance methods

Research Group: Division of Statistics
Evidence-based conservation and ecology are reliant on wildlife surveys. As a result, there exists a range of methods that have been developed specifically… Read more

### Causal inference and trial emulation for ecological observational data

Research Group: Division of Statistics
Conducting formal causal inference for ecological data is challenging due to the complex observational processes that are usually involved. Read more

### Understanding the uncertainty in the decomposition of cancer gene or protein expression data

Research Group: Division of Statistics
Many tools exist that will take the expression profile of a tumour sample and decompose that signal into components arising from different tissue types (e.g. 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

### Supervised learning methods to measure information transfer in biology

Information theory is widely used as the basis of communication channels to transfer information through the Internet and other platforms. 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
• 1

Filtering Results