University of Edinburgh Featured PhD Programmes
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Statistics (group) PhD Projects, Programs & Scholarships

We have 100 Statistics (group) PhD Projects, Programs & Scholarships

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  Prediction of sustainability performance of ionic liquids using a group contribution framework
  Dr R Cuellar-Franca, Dr C Avendano, Prof C Hardacre
Applications accepted all year round

Funding Type

PhD Type

The versatility and wide range of applications of ionic liquids (ILs) offer industry with endless possibilities for sustainable innovation.
  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).
  Decoding the genetic architecture of inflammatory arthritis at the single-cell level #RACE5
  Dr S Sansom, Prof P Bowness, Dr L Jostins-Dean, Prof K Raza
Application Deadline: 10 January 2020

Funding Type

PhD Type

Supervisors. Dr Stephen Sansom, Professor Paul Bowness, Dr Luke Jostins-Dean and Professor Karim Raza. Genome wide association studies (GWAS) of inflammatory arthritis have now revealed hundreds of genetic variants that are linked to different forms of inflammatory arthritis.
  PhD position in gut microbiota research/microbial evolutionary genomics
  Prof P Engel
Application Deadline: 30 November 2019

Funding Type

PhD Type

Our laboratory works on social bees to address current questions about the evolution, function, and ecology of specialized gut microbial communities.
  Longitudinal trajectories of renal function, and dynamic prediction of progression to end-stage renal disease: a data-driven analysis and validation using regression and machine learning methods in a bi-national population-based cohort #NDORMS-2020/1
  Prof D Prieto-Alhambra, Dr V Strauss, Dr S Khalid, Dr D Robinson
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Prof Daniel Prieto-Alhambra. 2. Dr V Strauss. 3. Dr Sara Khalid. 4. Dr Danielle Robinson. 5. Dr Laurie Tomlinson. There is a scarcity of data on the natural history of chronic kidney disease (CKD) in the general population, and on markers of rapid progression to end-stage renal disease (ESRD).
  Accounting for heterogeneity in network neuroscience: extending the Bayesian Exponential Random Graph Model to infer and identify group differences
  Dr S White, Dr B Tom, Dr B Lehmann
Application Deadline: 7 January 2020

Funding Type

PhD Type

Background. Network Neuroscience is the study of the structure and function of the brain through the lens of networks and network constructs [1,2].
  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 statistical methods for trial emulations using observational data
  Dr L Su, Dr S Seaman
Application Deadline: 7 January 2020

Funding Type

PhD Type

Randomised controlled trials (RCTs) are regarded as the gold standard for estimating causal effects of treatments on health outcomes.
  Developmental Responses to Environmental Change
  Dr C Mirth
Applications accepted all year round

Funding Type

PhD Type

The environment in which animals develop profoundly shapes their morphology and behaviour, a process known as phenotypic plasticity.
  Artificial intelligence and machine learning for clinical prediction: Evaluating design, conduct, reporting and 'spin' #NDORMS-2020/3
  Prof G Collins, Dr M Schlussel, Dr P Dhiman, Dr J de Beyer
Application Deadline: 10 January 2020

Funding Type

PhD Type

1. Professor Gary Collins. 2. Dr Michael Schlussel. 3. Dr Paula Dhiman. 4. Dr Jennifer de Beyer. Artificial intelligence (AI) and machine learning (ML) are increasingly seen as solutions to many healthcare problems (e.g., for risk prediction, imaging), and the pace of development is showing no signs abating.
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