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We have 57 Applied Statistics PhD Projects, Programmes & Scholarships for UK Students

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Applied Statistics PhD Projects, Programmes & Scholarships for UK Students

We have 57 Applied Statistics PhD Projects, Programmes & Scholarships for UK Students

Continual Learning and Its Applications

Continual learning (often termed as lifelong learning) is the process through which a learning system efficiently learns multiple tasks in succession, which is an essential requirement for Artificial General Intelligence (AGI). Read more

Funded PhD Opportunity: Pioneering Time Series Analysis Through Self-Normalisation

About the project. Techniques and Overview. In the intricate world of statistical analysis, accurately understanding the variance of temporally correlated data is crucial for reliable conclusions. Read more

Brain-inspired See-Think-Act Intelligent Machines

There is an ongoing revolution in developing autonomous intelligence machines to greatly improve the effectiveness and efficiency of sensory perception, decision-making, and active control. 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

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