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Statistics (selection) PhD Projects, Programs & Scholarships

We have 29 Statistics (selection) PhD Projects, Programs & Scholarships

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  Precision Medicine DTP - Analysing and recommending personalised care pathways for multimorbid patients with the use of artificial intelligence techniques
  Research Group: Centre for Medical Informatics
  Dr A Manataki, Dr D Wake, Dr S Cunningham
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Multimorbidity is one of the biggest challenges that health services are facing in the UK and worldwide. Care for people living with multiple conditions accounts for over half of the costs of primary and secondary care in the UK, and the number of these patients is rising.
  Precision Medicine DTP – Using Omics to Understand the Genes and Pathways Underlying Alcohol Use Disorder
  Research Group: Centre of Genomic and Experimental Medicine
  Dr K Evans, Dr T-K Clarke, Dr S Glerup
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Alcohol use disorder (AUD) is a chronic relapsing brain disease characterised by compulsive alcohol use, loss of control over alcohol intake, and a negative emotional state when not using alcohol.
  Precision Medicine DTP – A novel data integration method for cellular social networks within self-organising multicellular systems
  Research Group: Institute of Stem Cell Research
  Dr G Blin, Dr L Schumacher, Dr A Tsanas
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. The quantification and interrogation of how the cells organise and interact with their environment is fundamental for advancing developmental biology, cancer research, pharmaceutics and medical diagnostics.
  Precision Medicine DTP - Accurate methods for rare variant calling in low-coverage cancer exome sequencing data
  Research Group: Institute of Quantitative Biology, Biochemistry and Biotechnology
  Dr G Stracquadanio, Dr G Sanguinetti
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. High-throughput sequencing technologies enabled the characterization of the genomic landscape of many tumours (1,2).
  Precision Medicine DTP - Developing Personalised Precision Medical Approaches for Paediatric Intensive Care through Data Informatics and Machine Learning on the Impact of Acute Clinical and Physiological Phenotypes on Outcome
  Dr J Escudero Rodriguez, Dr T Lo, Dr L Moss
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Routine clinical practice generates a large amount of data that is under-used for research and quality improvement[1].
  Precision Medicine DTP - Large-Scale Data-Driven Lung Cancer Diagnostics using Time-Resolved Fluorescence Spectroscopy (TRFS)
  Dr S Seth, Dr KD Dhaliwal, Dr M Khadem
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Pulmonary nodules are common, often incidental, findings on chest CT scans. The investigation of pulmonary nodules is, however, time-consuming and often leads to protracted follow-up with ongoing radiological surveillance.
  Testing environment filters as mechanisms of ecosystem resilience to non-native species invasion
  Dr A Knights, Prof D Bilton
Application Deadline: 7 January 2020

Funding Type

PhD Type

In the midst of Earth’s sixth mass extinction event, non-native species (NNS) are driving declines in imperilled species’ and ecosystem services.
  PhD in evolutionary biology - examining the evolution of interactions between species
  Prof R Freckleton
Applications accepted all year round

Funding Type

PhD Type

Evolutionary biology is underpinned by models for the evolution of species and their traits. The growing body of phylogenetic information, as well as increases in computational power allows us to develop and test novel models and theories of evolution.
  Automated evaluation of geo-political risk.
  Research Group: Division of Statistics
  Dr C Donovan
Applications accepted all year round

Funding Type

PhD Type

There are massive amounts of data presented to the internet in real or near-to-real-time that allow monitoring of economic and societal conditions, amongst other things.
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