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Statistics PhD Projects, Programs & Scholarships in Liverpool

We have 16 Statistics PhD Projects, Programs & Scholarships in Liverpool

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Showing 1 to 15 of 16
  High-precision MRI-linac radiotherapy of lung cancers: Using AI to rapidly estimate whole tumour contours from pre-treatment magnetic resonance 4D-images and real-time orthogonal slice-pair images
  Dr J Fenwick, Dr T Do
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  The epidemiology of disease clusters in adults with multimorbidity
  Dr L Walker, Prof F Coenen
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  Deep Feature Learning for Distributed Rehabilitation Robots with Wearable Tactile Sensing
  Dr S Luo, Dr P Paoletti
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  An intelligent imaging technology for automatic characterisation of the refractive power of human eye
  Prof Y Shen, Dr Y Zheng
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  Machine Learning of Epidemic Models
  Dr D Wojtczak
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  Using AI to leverage new forms of data in modelling cycling behaviours in the LCR
  Dr M Green, Dr S Scanlon
Application Deadline: 28 May 2019

Funding Type

PhD Type

The project is supported by the University of Liverpool Doctoral Network in Future Digital Health, which is directed at creating and maintaining a community of AI health care professionals that can realise the benefits that AI can bring to Health Care.
  Robot grasping and manipulation for materials discovery in a chemistry lab
  Dr S Luo, Prof A Cooper
Application Deadline: 30 May 2019

Funding Type

PhD Type

New materials are the foundation of the development of key technologies such as advanced batteries for electric vehicles, solar cells, catalysts for clean energy, and more.
  Uncertainty quantification in digital twin engineering
  Dr S Ferson, Dr M De Angelis
Application Deadline: 31 May 2019

Funding Type

PhD Type

PLEASE APPLY ONLINE TO THE SCHOOL OF ENGINEERING, PROVIDING THE PROJECT TITLE, NAME OF THE PRIMARY SUPERVISOR AND SELECT THE PROGRAMME CODE "EGPR" (PHD - SCHOOL OF ENGINEERING).
  Statistical and machine learning methods for risk prediction of cardiovascular diseases from complex longitudinal data
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. Risk prediction models are used in clinical decision making and are used to help patients make an informed choice about their treatment.
  Modelling the impact of interventions in atrial fibrillation, the commonest cardiac rhythm disorder and a global healthcare problem
  Dr G Czanner, Dr I Olier, Prof P Lisboa, Prof G Lip
Applications accepted all year round

Funding Type

PhD Type

Project description. It is known that the risk of developing CVD is increasing in the UK along with the rest of the World. It is believed that the culprits are lifestyle and environmental factors.
  Spatial statistical methods and machine learning for analysis of retinal images of optic disc
  Dr G Czanner, Dr S Czanner
Applications accepted all year round

Funding Type

PhD Type

Automated disease diagnosis using medical imaging data is an increasingly important problem. For example, colour retinal images are used to detect glaucoma - a major cause of blindness.
  Quantitative Characterisation and Validation for Spatial-Temporal Models of Protein Structures
  Prof EA Patterson, Dr LW Yang
Application Deadline: 1 June 2019

Funding Type

PhD Type

This project is a part of a 4-year dual PhD programme between National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool in England.
  Developing Artificial Intelligence Tools for the Identification of Sleep Apnoea
  Dr Y Zheng, Dr S Craig, Prof GYH Lip
Applications accepted all year round

Funding Type

PhD Type

Obstructive Sleep Apnoea (OSA) occurs due to the repetitive closure of the pharynx during sleep, leading to sleep fragmentation and, often, daytime somnolence.
  Machine Learning approaches for robust analysis of complex systems
  Dr E Patelli
Applications accepted all year round

Funding Type

PhD Type

This position will close as soon as a suitable candidate has been found. The start date for this position is February 2019. Overview.
  Hybrid models for the analysis of complex dynamic systems
  Dr F Fazzolari
Application Deadline: 1 August 2019

Funding Type

PhD Type

During the last five decades the Statistical Energy Analysis (SEA) has been successfully used to deal with a wide range of mechanical, aerospace and marine engineering applications.
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