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Statistics PhD Projects in the UK

We have 175 Statistics PhD Projects in the UK

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Showing 1 to 10 of 175
  Learning from the past to predict and reduce the risk of infectious disease pandemics
  Dr F Perez-Reche, Prof N Strachan
Applications accepted all year round

Funding Type

PhD Type

The World Health Organisation reports that infectious diseases cause 63% of childhood deaths and 48% of premature deaths. There is the ongoing risk of epidemics and pandemics that can cause widespread morbidity and mortality (Spanish flu, ebola, SARS, E.
  Neuronal Dynamics from a complex network perspective
  Prof A Politi, Dr E Ullner
Applications accepted all year round

Funding Type

PhD Type

The human brain is possibly the most intriguing complex system we know. The combination of experimental work and theoretical approaches has gained many insides in the last century but we are still far away from a real understanding.
  Quantitative Risk Assessment for Food Safety (allergens, microbial pathogens or chemical contaminants)
  Prof N Strachan, Dr F Perez-Reche
Applications accepted all year round

Funding Type

PhD Type

This project will use computational methods to assess risks. An expectation of the society we live in is that the food that we eat is safe.
  Statistical Data Analysis of medical health records
  Prof B Schelter, Prof M Thiel
Applications accepted all year round

Funding Type

PhD Type

In this project we will use advanced statistical and mathematical modelling techniques to analyse patient health records in order to support medical decision making.
  Extending social perception theories to advertising context
  Research Group: Applied, Social and Health Psychology Research Group
  Dr M Zawisza, Dr D McDermott
Applications accepted all year round

Funding Type

PhD Type

Research Group. Applied, Social and Health Psychology Research Group - http://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/applied-social-and-health-psychology.
  Improving the effectiveness of social advertising
  Research Group: Applied, Social and Health Psychology Research Group
  Dr M Zawisza, Dr D McDermott
Applications accepted all year round

Funding Type

PhD Type

Research Group. Applied, Social and Health Psychology Research Group - http://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/applied-social-and-health-psychology.
  KESS 2. Tomato early blight - identification of genetic sources of resistance to Alternaria solani
  Dr K Steele
Application Deadline: 17 June 2019

Funding Type

PhD Type

We are offering an opportunity to learn plant pathology and work with industry partners (Burpee NL and the Sarvari Research Trust) to evaluate the genetics of resistance of tomato to early blight.
  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.
  EPSRC iCASE PhD: Intelligent Malware Profiling for Automated Campaign Detection (open to UK and EU Nationals who can satisfy UK residency requirements)
  Prof P R Burnap, Dr P Reinecke
Application Deadline: 31 July 2019

Funding Type

PhD Type

This 4 year PhD project (start date 1 October 2019) will investigate the possibility of developing algorithms to profile the characteristics of malware and link these to targeted distribution campaigns.
  Dynamic modelling of linked circular economies
  Dr M Van De Wiel
Application Deadline: 30 June 2019

Funding Type

PhD Type

In many urban areas, pathways of essential resources such as food, water and energy are subject to multiple inefficiencies. Circular economies try to minimize wastages by reusing or recycling the waste products within each resource stream.
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