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MRC four-year PhD programme for Quantitative Scientists

MRC four-year PhD programme for Quantitative Scientists

Exciting PhD programme at MRC Human Genetics Unit

Are you a graduate level physicist, mathematician, statistician, engineer, computer scientist, or similar, seeking PhD training to made a difference in medicine and biology?

If so, we want you!

To understand how our genomes work to control the function of molecules, cells and tissues in people and populations we need to combine research in multiple disciplines. To achieve this our PhD programme harnesses strengths in the latest computational and experimental technologies and relates fundamental research to human disease.

We have a wide variety of research groups who need your computational and analytical skills. Projects will be developed with individual research groups following 2 mini-projects and places are available for up to three successful candidates. PhD projects might include electronic health records, artificial intelligence, Bayesian statistics, genome-scale data analysis.

We are committed to high quality training, mentorship and research excellence to prepare the next generation of scientists to tackle the most challenging questions underpinning health and disease. This will enable you to think critically, undertake mechanistic research and make new discoveries.

MRC four-year PhD programme for Quantitative Scientists

Exemplar projects:

  • Pinpointing genetic and epigenetic influences on adiposity - Professor Chris Haley
  • How do cancer mutations affect protein complexes? – Dr Joe Marsh
  • Genome-scale inference of causal molecular mechanisms of complex diseases & traits – Professor Chris Ponting
  • The blind watch breaker: mutation and selection at regulatory sites in cancer – Professor Martin Taylor / Professor Colin Semple
  • Cutting-edge scalable computational tools for the genetic analysis of longitudinal phenotypes to understand disease aetiology – Dr Albert Tenesa
  • Uncovering longitudinal trajectories in molecular and clinical population data – Dr Catalina Vallejos

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