Modern genomics promises not only to help uncover the molecular basis of disease, but also to have a major impact on health care through translation of advances in techniques, computation and knowledge into clinical trials and clinical practice. Quantitative analysis is at the heart of this goal, and there is a pressing requirement for researchers with thorough mathematical and statistical expertise, in addition to training in medical genetics and informatics.
This PhD programme has been established as a collaboration between the University of Cambridge and the Wellcome Trust Sanger Institute. The programme will provide the opportunity to work at the interface between the mathematical and computational sciences, and genome-scale and translational medical research.
Structure of the programme
The programme is a four-year PhD programme, but follows a "1 + 3" model, comprising a tailored first year of taught modules and research rotations, followed by a three-year research project. All students will have two supervisors: one from a mathematics, engineering or other quantitative science background, and the second from a genetics or genomics/biomedical background.
Who are we looking for?
Successful applicants will have strong mathematical, statistical and computational skills, and may include exceptional biologists. They will develop quantitative techniques and theoretical approaches and apply them to practical problems in both translational and basic biomedical research.
Support
This PhD Programme provides a tax-free stipend and pays University of Cambridge fees at the 'home/EU rate' (see http://www.graduate.study.cam.ac.uk/finance/fees), a contribution to research expenses and some travel and training costs.
Further details:
http://www.nature.com