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We have 13 Statistics PhD Projects, Programmes & Scholarships in Birmingham
Statistics PhD Projects, Programmes & Scholarships in Birmingham
We have 13 Statistics PhD Projects, Programmes & Scholarships in Birmingham
Bayesian Computation for Modern Slavery Statistics
Victims of modern slavery are exploited for personal and commercial gain. In 2015, the Home Office estimated that there are 11,000-13,000 victims of modern slavery in the UK (Silverman, 2020). Data about modern slavery is often, noisy, sparse or censored. Read more
Trials and Methodology Research Partnership (TMRP) DTP
The MRC-NIHR Trials Methodology Research Partnership (TMRP) aims to Improve health by improving trials. Our MRC Doctoral Training Partnership presents an opportunity to undertake training for a PhD in trials methodology. Read more
High Latitude Electrodynamics Data Assimilation for Operational Space Weather Forecasting
Space weather is, or is fast becoming, a critical interest across the space, aviation, defence, power delivery, navigation, and communications industries. Read more
Statistical foundations of deep generative models
Deep generative models (DGMs) are a broad class of models that train deep neural networks to generate synthetic samples from a target distribution associated to a given training data set. Read more
Data driven approaches for nonlinear inverse problems
The project aims to develop new techniques for solving complex inverse problems that arise in various scientific fields. In many real-world applications, such as medical imaging, geophysics, and material science, we often seek to recover the hidden properties of a system from indirect and noisy measurements. Read more
Can a brief co-designed lifestyle intervention be used to reduce stress and improve wellbeing amongst community-based healthcare workers and their families? (Aston University)
This is an opportunity to study a fully-funded PhD in both Australia and the UK, and to work with internationally recognised researchers in child health and neurodevelopment. Read more
Neural Networks and Bayesian Methods in Computational Neuroscience
This PhD will use deep learning methods in computational neuroscience, with a particular focus on modelling and analysis in neuroimaging. Read more
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A methodological framework for incorporating multiple outcomes into hybrid implementation and effectiveness trials
Background to the project. Many policies are adopted into practice without a solid evidence. Rigorous randomised trials are therefore needed to inform decisions about the implementation of policy interventions. Read more
Characterisation of general practices by prescribing and diagnostic test ordering behaviour using dimensionality reduction and clustering analysis
Introduction. Personality refers to an individual’s enduring characteristics and behaviours. Read more
Statistical inference for epidemics models
Mathematical models have been established as an important tool for capturing the features that drive the spread of a disease, predicting the progression of an epidemic and guiding the development of effective control strategies to prevent potential outbreaks. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. 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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