FindA University Ltd Featured PhD Programmes
University College London Featured PhD Programmes
University of Edinburgh Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
University of Surrey Featured PhD Programmes
"statistics"×
10 miles

Statistics (statistics) PhD Projects, Programs & Scholarships

We have 97 Statistics (statistics) PhD Projects, Programs & Scholarships

  • "statistics" ×
  • Statistics×
  • clear all
Order by 
Showing 1 to 10 of 97
  Social Statistics PhD opportunities

Funding Type

PhD Type

We're committed to providing the facilities for you to conduct interdisciplinary social science research in a world-class research environment.
  EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i)

Funding Type

PhD Type

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.
  CDT in Computational Statistics and Data Science
Application Deadline: 10 July 2019

Funding Type

PhD Type

 Train with a team of world-leading researchers, industrial leaders, and government experts in a 4-year PhD programme in statistical and computational techniques of data science at the University of Bristol.
  Analytic methods for detecting and making sense of somatic genomic rearrangements
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Clinical cancer bioinformatics: developing new bioinformatics methods for improved analysis of cancer gene hybridisation capture panels
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

Bioinformatics is the application of mathematics, statistics and computational methods to the analysis of molecular biology data.
  Protecting our seas using computers - Modelling and forecasting the expansion of a highly invasive seaweed
  Dr B Chen, Prof M Heath
Applications accepted all year round

Funding Type

PhD Type

This fully-funded 3.5 year studentship will remain open only until filled. We recommend applying immediately. In this project, you will meet with the challenge of developing an individual based model to simulate the growth and dispersal of a highly invasive seaweed (Japanese eelgrass) driven by coastal ocean currents.
  Searching for the predictors of high blood pressure in women and their offspring - a bioinformatics approach.
  Dr G S Bewick, Dr S Bhattacharya, Dr E Collie-Duguid
Application Deadline: 28 June 2019

Funding Type

PhD Type

We are seeking to understand the causes of hypertension (high blood pressure). Hypertension is THE greatest preventable risk factor for premature death worldwide [1] through inducing cardiovascular disease, stroke, and kidney damage.
  Immunostaging for melanoma to accurately predict the risk of relapse after surgery
  Prof A Papenfuss
Applications accepted all year round

Funding Type

PhD Type

This project will utilise a large biobank of clinically annotated samples from patients with melanoma at high risk of relapse after surgery to develop a signature that predicts risk of relapse.
  A functional investigation of the inducible nitric oxide synthase (NOS2) association with Ankylosing Spondylitis
  Dr M Vecellio, Prof J C Knight, Dr P Wordsworth, Dr C Cohen
Application Deadline: 9 August 2019

Funding Type

PhD Type

Nuffield Dept of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre – University of Oxford. And jointly at Wellcome Trust Centre for Human Genetics, Old Road Campus – University of Oxford.
  Machine learning and multi-level GLM models as alternatives to logistic regression in propensity score estimation for the study of medical devices using observational data
  Prof D Prieto-Alhambra, Dr V Strauss, Dr S Khalid
Application Deadline: 16 August 2019

Funding Type

PhD Type

Observational studies of medical devices may provide evidence on comparative safety in real life patients. Regulatory bodies including the FDA have showed interest in the use of evidence from studies using routinely collected data.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.