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University of Oxford Statistics PhD Projects, Programs & Scholarships

We have 11 University of Oxford Statistics PhD Projects, Programs & Scholarships

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Showing 1 to 10 of 11
  Optimisation of co-registered functional near-infrared spectroscopy and electroencephalogram measurement of early childhood neurocognitive development
  Dr G Scerif, Dr K Holmboe
Application Deadline: 11 January 2019
Gowerlabs Ltd, London. Functional Near-Infrared Spectroscopy (fNIRS) is a relatively new optical imaging technique that enables non-invasive assessment of functional brain activation outside a scanner environment.
  Wellcome Trust 4-year Doctoral Programme in Genomic Medicine and Statistics
Wellcome Trust 4-year Doctoral Programme in Genomic Medicine and Statistics. Genomic technologies have transformed biomedical research over the last decade and are now having significant impact on the practice of clinical medicine.
  Investigating the pathogenesis of inflammatory arthritis with computational and single-cell genomics
  Dr S Sansom, Prof P Bowness
Application Deadline: 11 January 2019
NDORMS 2019/10. Ankylosing spondylitis (AS) is a common and highly heritable1 form of arthritis which characteristically involves inflammation of the sacroiliac joints and spine.
  Genetic Epidemiology of Cardiovascular Disease: Studying genetic variation in cardiomyopathy and coronary artery disease across the entire allele frequency spectrum in order to identify causative genes and susceptibility loci.
  Prof M Farrall, Dr AG Goel
Application Deadline: 11 January 2019
Studying genetic variation in cardiomyopathy and coronary artery disease across the entire allele frequency spectrum in order to identify causative genes and susceptibility loci.
  Genetics and Genomics of Type 2 Diabetes: using human genetics to drive a mechanistic understanding of type 2 diabetes and to identify novel translational opportunities
  Prof M I McCarthy, Dr A Gloyn
Application Deadline: 11 January 2019
We focus on the use of human genetics to drive a mechanistic understanding of type 2 diabetes, and to identify novel translational opportunities.
  Genomics of Diabetes: Functional characterisation of T2D GWAS
  Dr A Gloyn
Application Deadline: 11 January 2019
Diabetes already affects 415 million people worldwide. In the UK, there will be 5M people with type 2 diabetes (T2D) by 2025, accounting for 1 in 30 prescriptions and £25 billion in annual NHS costs.
  Machine Learning and Integrative Approaches in Immunology: Developing machine-learning and mathematical models to understand heterogeneity of response to personalised cancer immunotherapy
  Dr H Koohy, Prof V Cerundolo, Prof T Dong, Prof A Simmons
Application Deadline: 11 January 2019
Cancer immunology is an area of cancer research that is gaining tremendous momentum. However, responses to immunotherapy are heterogeneous and patient care could be substantially improved by better understanding of how and why responses to immunotherapeutic approaches vary in different patients.
  Quantitative biology of cell fate and tissue dynamics: Modelling stem cell fate and alterations due to mutations
  Dr E Morrissey
Application Deadline: 11 January 2019
The group uses a combination of deep learning, stochastic models and Bayesian modelling to study questions relating to stem cell fate dynamics and how mutations in stem cells alter their normal behaviour, become fixed and accumulate in the tissue eventually leading to cancer.
  Statistical Genetics: Novel statistical method development for discovery and interpretation of genetic contribution to human cardiovascular and haematological traits
  Dr V Iotchkova
Application Deadline: 11 January 2019
Genetic and epidemiological research has generated a vast amount of data and expertise for evaluating the genetic contribution to human traits in health and disease.
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