Description of work: 3 year doctoral position in the Department of Computer Science at the University of Cambridge. This fellowship involves Bioinformatics and Computational Biology modelling of Epigenetic mechanisms early in life and developmentally relevant metabolic signalling, which create biological variation and have a long term effect on the health of individuals across the lifespan.
The candidate will analyse data in several relevant models (diabetes, obesity and assisted reproductive technologies (ART)), human samples, stem cell lines, animal models) and will develop bioinformatics tools to decipher some of the most important pathways and to offer options for early intervention to avoid adverse health effects.

Familiarity with programming languages (C/C++, Java) and expertise in modeling or machine learning would be good.

Enquiries to: Pietro Lio, pl219@cam.ac.uk