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We have 17 Statistics (quantitative) PhD Projects, Programmes & Scholarships

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Statistics (quantitative) PhD Projects, Programmes & Scholarships

We have 17 Statistics (quantitative) PhD Projects, Programmes & Scholarships

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Understanding the Multi-level Voter: Evidence from the Scottish Election Study

About the Project. The University of Edinburgh is inviting applications from suitably qualified graduates for a fully-funded PhD studentship in Politics & International Relations to research voting behaviour in Scotland, with an eye on comparing over time voting behaviour in Scottish and UK elections. Read more

Improving the effectiveness of social advertising

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Dr Magdalena Zawisza. Theme. Consumer Psychology, Gender and Sexualities, Identity and Social Issues, Social Advertising. Read more

Extending social perception theories to advertising context

  Research Group: Centre for Societies and Groups
Research Group. Centre for Societies and Groups. Proposed supervisory team. Dr Magdalena Zawisza. Theme. Consumer Psychology, Gender and Sexualities, Identity and Social Issues, Social Perception and Advertising. Read more

Responsible AI for Health and Social Care

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Network-based predictive modelling of cardiovascular disease risk

The risk of cardiovascular disease (CVD) is orchestrated by multiple factors. QRISK models (currently QRISK3) have been used in the UK to estimate CVD risk within the next 10 years for individuals without CVD. 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

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