University College London Featured PhD Programmes
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clinical trial PhD Projects, Programs & Scholarships

We have 61 clinical trial PhD Projects, Programs & Scholarships

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  Assessing the generalisability of trial findings using large orthopaedic population studies #NDORMS-2020/5
  Assoc Prof J Cook, Prof X Griffin, Assoc Prof B Ollivere
Application Deadline: 10 January 2020

Funding Type

PhD Type

Randomised trials (RCTs) are widely accepted as the preferred approach to evaluating health care interventions. However, the clinical relevance and generalisability of the findings are often disputed.
  Patient experience of the Mesothelioma Stratified Therapy Trial (MiST): a qualitative study
  Prof A Tod, Dr B Taylor
Applications accepted all year round

Funding Type

PhD Type

This PhD provides a unique opportunity for a student to conduct a qualitative patient experience health services research study within a complex stratified clinical trial for people with malignant mesothelioma (MM), the Mesothelioma Stratified Therapy Trial (MiST).
  Development and Implementation of Efficient Adaptive Designs in Early Phase Oncology Trials for Novel Agents
  Prof C Yap, Prof J Bliss
Application Deadline: 17 November 2019

Funding Type

PhD Type

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes. We are committed to attracting and developing the best minds in the world to join us in our mission—to make the discoveries that defeat cancer.
  Use of EUROQOL-5D (EQ-5D) in orthopaedic trauma trials #NDORMS-2020/4
  Assoc Prof J Cook, Prof X Griffin
Application Deadline: 10 January 2020

Funding Type

PhD Type

Health related quality of life is commonly measured in clinical research studies including Randomised Controlled Trials (RCTs). Perhaps the most commonly used to do this is the Euroqol-5 dimensions (EQ-5D) questionnaire (1).
  (MCRC Clinical) Developing circulating and imaging biomarkers towards personalised radiotherapy in lung cancer
  Prof C Faivre-Finn, Dr G Price, Prof C Dive
Application Deadline: 1 December 2019

Funding Type

PhD Type

Project summary. Approximately a third of Non-Small Cell Lung Cancer cases are locally-advanced (LA-NSCLC) at presentation (~13,000 pts a year in the UK) with the majority being unsuitable for curative surgery.
  Evolutionary dynamics of MEK inhibitor sensitivity and resistance in diffuse midline glioma
  Dr C Jones, Dr O Rossanese
Application Deadline: 17 November 2019

Funding Type

PhD Type

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes. We are committed to attracting and developing the best minds in the world to join us in our mission—to make the discoveries that defeat cancer.
  Assessing the ability of hypoxic pre-conditioning to enhance the immunomodulatory capacity of canine cardiac stem cell as a bridge to the treatment of dilated cardiomyopathy.
  Dr D Connolly
Applications accepted all year round

Funding Type

PhD Type

Dilated Cardiomyopathy (DCM) is a common and serious disease, which imposes a significant welfare burden in dogs. DCM is particularly well characterise in Dobermans where a 58.8% cumulative prevalence has been identified in European lines.
  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.
  Four-Year Wellcome Trust PhD Programme in Translational Neuroscience

Funding Type

PhD Type

The University of Edinburgh invites applications to the Wellcome Trust funded 4-year PhD programme in Translational Neuroscience.
  PhD and Clinical PhD Fellow opportunities at the UKRI Centre Artificial Intelligence for Healthcare

Funding Type

PhD Type

Our vision is to train PhD students to become next-generation innovators in Artificial Intelligence (AI) applied to Healthcare, and we are inviting excellent, suitably qualified graduates with strongest AI-related skills and strong interest in healthcare.
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