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Data Analysis PhD Projects, Programs & Scholarships in Oxford

We have 6 Data Analysis PhD Projects, Programs & Scholarships in Oxford

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  Tumour microenvironment and colorectal cancer development: understanding the mechanisms of the tumour growth
  Prof D Kerr, Dr S Cai
Application Deadline: 10 January 2020

Funding Type

PhD Type

Our group has conducted a series of international adjuvant trials of chemotherapy for colorectal cancer (Kerr RS. et al, (2016), Lancet Oncol, 17, 1543 – 1557).
  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: 10 January 2020

Funding Type

PhD Type

Other Potential Supervisors. Konrad Werys. OCMR has an international reputation for cardiac MRI (CMR) research on all aspects from acquisition biophysics to clinical applications.
  Genetic Architecture of Inherited Cardiomyopathy
  Prof M Farrall, Dr AG Goel, Prof H Watkins
Application Deadline: 10 January 2020

Funding Type

PhD Type

Studying genetic variation in cardiomyopathy and coronary artery disease across the entire allele frequency spectrum in order to identify causative genes and susceptibility loci.
  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.
  Can genetics-led immunologic investigation identify novel common regulators shared across immune-mediated inflammatory diseases? #NDORMS-2020/2
  Dr L Chen, Prof P Bowness
Application Deadline: 10 January 2020

Funding Type

PhD Type

Liye Chen. https://www.ndorms.ox.ac.uk/team/liye-chen. Paul Bowness. https://www.ndorms.ox.ac.uk/team/paul-bowness. Immune-mediated inflammatory diseases (IMIDs) are a group of incurable diseases that share inflammatory pathways and cause substantial personal and socioeconomic burdens.
  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).
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