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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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  Optimal tidal power generation
  Prof O Jones
Applications accepted all year round

Funding Type

PhD Type

New developments in turbine design and construction methods for tidal barriers mean that tidal power generation is becoming more cost effective.
  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.
  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.
  Generative Adversarial Networks for Rare Event Augmentation
  Prof O Jones, Dr V Knight
Applications accepted all year round

Funding Type

PhD Type

This project will produce synthetic data generation methods for creating synthetic data in data-limited situations, allowing the user to subsequently apply modern data intensive techniques, and hence make better decisions.
  Machine Learning for Dimension Reduction in High‐Dimensional Datasets
  Dr A Artemiou
Applications accepted all year round

Funding Type

PhD Type

In today’s environment where computer processors are powerful and computer memory cheap, researchers are able to collect and store huge amounts of data.
  Metaheuristic Methods for Probabilistic Graphical Models
  Dr D Gartner
Applications accepted all year round

Funding Type

PhD Type

Metaheuristic Methods for Probabilistic Graphical Models. The aim of this project is to develop approaches for learning probabilistic graphical models that can be used for classification problems and to explore causal relationships between attributes.
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