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Statistics PhD Projects, Programs & Scholarships in Cardiff

We have 6 Statistics PhD Projects, Programs & Scholarships in Cardiff

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  Evaluation of errors in the delivery of care to patients with eye-related problems
  Dr J Acton, Dr A Carson-Stevens
Application Deadline: 1 October 2019

Funding Type

PhD Type

This PhD scholarship represents an opportunity to train to become a Public Health academic.
  Design of experiments in regression models with correlated observations
  Prof A Zhigljavsky, Dr A Pepelyshev
Applications accepted all year round

Funding Type

PhD Type

The design of experiments is an area of mathematical sciences which has direct economic impact. Optimal designs allow saving time, materials and other resources.
  Low rank approximations of matrices with a focus on statistical applications
  Dr JW Gillard, Prof A Zhigljavsky
Applications accepted all year round

Funding Type

PhD Type

This proposal will investigate the structured low-rank approximation (SLRA) problem. Broadly speaking, this work will involve a synergy of statistics, linear algebra and optimisation, and has relevance to problems in other disciplines.
  Robust analysis of multivariate extreme events
  Dr K Strokorb, Prof A Zhigljavsky
Applications accepted all year round

Funding Type

PhD Type

Being well-informed about the likely nature of future risks is of utmost importance to build a resilient infrastructure through adaptation.
  PhD in Child Health - Volatile Organic Compounds (VOC) for diagnosis in ex-preterm children
  Dr W Watkins, Dr M Chakraborty, Prof S Kotecha
Applications accepted all year round

Funding Type

PhD Type

This is a self-funded/sponsored PhD opportunity. BACKGROUND. Bronchopulmonary dysplasia (BPD) is a major respiratory consequence of premature birth (Walsh et al., 2006).
  Edge Computing for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

This project has two different research themes. (1) Edge Computing; (2) Data Science. (1) Edge Computing is the notion of performing computation close to the data generation source, by significantly reducing data communication latency and ensuring that private data is maintained closer to the data generation source.
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