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Statistics PhD Projects, Programs & Scholarships in Lancaster

We have 5 Statistics PhD Projects, Programs & Scholarships in Lancaster

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  EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i)
EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i) [Format. H1]. The EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i) [Link.
  Statistical Learning for Early Detection and Prevention of Diabetes
  Dr B Taylor, Dr J Knight
Application Deadline: 15 March 2019
Project Description (300 word max). Diabetes remains one of the largest challenges for our health service, and predictions have suggested that the NHS could be spending 17 billion pounds per year treating it by 2035.
  How do patterns of routine vaccination coverage amongst children and young people (aged < 16 years of age) accessing secondary and tertiary medical care differ from the general paediatric population?
  Dr R Isba, Dr R Edge
Application Deadline: 15 March 2019
In England in 2017-18, routine childhood vaccination coverage declined, meaning the UK now lags behind European neighbours. Hospital attendance is an opportunity to check vaccination status and refer for catch-up if needed, yet little work is done in this area.
  Understanding the role of social interactions in disease transmission
  Dr J Read, Dr C Jewell
Application Deadline: 15 March 2019
Social interactions between people drive the spread of many infectious disease, including influenza, measles and tuberculosis. Consequently, they form the basis of many public health interventions, such as quarantine and contact tracing.
  Statistical analysis of large-scale network data
  Dr Chris Nemeth
Application Deadline: 28 February 2019
Supervisors. Dr Chris Nemeth, Dr Simon Lunagomez-Coria and Dr Vasileios Giotsas. Start Date. October 2019 (flexible). A student is sought for a PhD project linked to the EPSRC grant "Scalable Data Science for Security and Location-based Data" (https://gtr.ukri.org/projects?refEP%2FS00159X%2F1).
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