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Statistics (group) PhD Projects, Programs & Scholarships

We have 104 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.
  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.
  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.
  Economic and environmental efficiency of food redistribution
  Dr P Alexander
Application Deadline: 9 January 2020

Funding Type

PhD Type

Summary. The project will identify drivers of change to and map the UK food redistribution system, assess its economic and environmental efficiency, and design optimal alternative food redistribution systems.
  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.
  Strategies of handling missing data in federated data network #NDORMS 2020/9
  Prof D Prieto-Alhambra, Dr V Strauss, Dr A Delmestri, Prof I Petersen
Application Deadline: 10 January 2020

Funding Type

PhD Type

The use of electronic healthcare data is increasingly being proposed as a source of evidence to support drug development and regulatory decision making but also to understand the pathogenesis of diseases.
  MRC DiMeN Doctoral Training Partnership: DUB-ing chronic inflammation: a drug repurposing approach to target deubiquitinases in inflammatory disease
  Dr H Ismail, Prof S Renshaw, Dr L Guo
Application Deadline: 6 January 2020

Funding Type

PhD Type

Background. Inflammation is an essential defence mechanism adapted by our bodies to eliminate damaged cells, irritants and pathogens.
  Molecular adaptation in Leishmania parasites
  Dr D Jeffares, Prof J Mottram
Application Deadline: 5 January 2020

Funding Type

PhD Type

Leishmania are single-celled protozoan parasites of the Order Trypanosomatidae that cause the neglected tropical disease leishmaniasis.
  Cluster randomised trials methodology, Medical Statistics – PhD (Funded)
  Dr O Ukoumunne, Dr M Nunns, Dr Z Xiao, Prof T Ford
Application Deadline: 17 January 2020

Funding Type

PhD Type

The University of Exeter’s College of Medicine and Health in partnership with the National Institute for Health Research Applied Research Collaboration for the South West Peninsula (ARC), is inviting applications for a fully-funded PhD studentship.
  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.
  Computational imaging: Multi-Sensors Fusion for High Resolution 3D Lidar videos (EPS2020/40)
  Dr AH Halimi, Prof S McLaughlin
Application Deadline: 28 February 2020

Funding Type

PhD Type

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.
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