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We have 17 Statistics (genetic) PhD Projects, Programmes & Scholarships

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Statistics (genetic) PhD Projects, Programmes & Scholarships

We have 17 Statistics (genetic) PhD Projects, Programmes & Scholarships

Investigating the genetic basis of immunological overlap between inflammatory diseases

Genetic studies have identified numerous variants within the human genome associated with susceptibility to common complex inflammatory diseases, such as rheumatoid arthritis (RA) and ulcerative colitis (UC). Read more

Using nutrigenetic, nutrigenomic and machine learning approaches to investigate the risk of cardiometabolic disease-related traits in ethnically diverse populations.

This PhD project represents an exciting opportunity to develop and conduct research at the forefront of nutritional and genetic epidemiology, contributing to the prediction, prevention, and better understanding of the development of non-communicable diseases such as obesity and diabetes, using datasets from multiple ethnic groups. Read more

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( https://ourfuturehealth.org.uk/ ). Read more

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). Read more

Propagation of uncertainty for signatures of mutational processes

  Research Group: Division of Statistics
There is a trend, especially in cancer research, to i) take a set of DNA mutations ii) cross-categorize them by patient and mutational characteristic and iii) decompose the resulting counts matrix into two sets of vectors – one set representing the mutational impact of specific mutagens and one set representing the exposure of individuals to those mutagens. Read more

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