University of Birmingham Featured PhD Programmes
University of Huddersfield Featured PhD Programmes
Catalysis Hub Featured PhD Programmes
University of Kent Featured PhD Programmes
University of Leeds Featured PhD Programmes
"clinical"×
10 miles

clinical PhD Projects, Programs & Scholarships

We have 588 clinical PhD Projects, Programs & Scholarships

  • "clinical" ×
  • clear all
Order by 
Showing 1 to 10 of 588
  Intrusive thoughts and paranoia - exploratory work into the field of paranoia and intrusive thoughts, investigating the experience of these thoughts in non-clinical, sub-clinical and clinical samples.
  Dr G Rowse
Applications accepted all year round
Intrusive thoughts pop into the mind seemingly unbidden; some of them can be distressing and lead to unhelpful coping. These kinds of thoughts are a common experience for people who experience obsessive-compulsive problems.
  Longitudinal monitoring of Parkinson’s disease symptom progression using patient reported outcome measures, clinical assessments, and non-invasive sensors
  Dr E Sammler
Applications accepted all year round
Accurate quantification of Parkinson’s Disease (PD) symptom severity is critical to assist neurologists optimize treatment and mitigate PD symptoms.
  Evaluating use of national databases of routinely collected data as an alternative to direct patient contact for clinical trial design, follow-up & generalisability
  Dr W Toff, Prof K Abrams, Prof L Gray
Application Deadline: 3 April 2019
The UK TAVI trial is an ongoing multi-centre randomised controlled trial to assess the clinical effectiveness and cost-utility of TAVI, compared with conventional surgical aortic valve replacement, in patients with severe symptomatic aortic stenosis, who are at intermediate or high operative risk.
  Exploring the potential for the use of spinal registry data in clinical trials
  Dr G Burnside, Mr M Wilby, Prof T Marson
Application Deadline: 8 April 2019
Clinical trials using routinely collected outcomes from registries are still relatively rare, but have potential advantages over the traditional model.
  Clinical Decision Support System for Skin Monitoring & Melanoma Detection using Machine Learning
  Dr J Kulon
Application Deadline: 19 May 2019
Here is an exciting opportunity to study a Machine Learning and Advanced Image Processing which could lead to entirely new approaches in skin monitoring and melanoma detection.
  Intelligent Automated Interpretation and Reporting of Medical Images
  Dr E Chung, Dr M Zare
Application Deadline: 3 April 2019
Over the last decade, the quantity of digital medical imaging data held by NHS hospitals and other healthcare establishments has increased dramatically.
  Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques: improving and standardization of quantitative CMR approaches to support better healthcare
  Prof S Piechnik, Prof V Ferreira, Prof S Neubauer, Dr Q Zhang
Application Deadline: 26 July 2019
Other Potential Supervisors. Konrad Werys. OCMR has an international reputation for cardiac MRI (CMR) research on all aspects from acquisition biophysics to clinical applications.
  Non-invasive Mapping of Oxygen Extraction Fraction in Patients with Breast Cancer: Development of Novel Multi-Parametric Relaxometry Magnetic Resonance Imaging (MRI) Methods
  Dr J He, Dr Y Masannat, Prof D Lurie
Application Deadline: 29 March 2019
This project aims to translate, optimise and extend quantitative oxygen extraction fraction mapping based on oxygen enriched air inspiration and magnetic resonance (MR) relaxometric imaging for human application.
  MRC Precision Medicine DTP: Developing Personalised Precision Medical Approaches for Paediatric Intensive Care
  Dr T Lo, Dr L Moss, Dr J Escudero Rodriguez
Application Deadline: 8 April 2019
Title - Developing Personalised Precision Medical Approaches for Paediatric Intensive Care through Data Informatics Research on the Impact of Acute Clinical and Physiological Phenotypes on Outcome and Health Economics.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2019
All rights reserved.