Department of Computer Science and Technology

Fixed-term: The funds for this post are available for 3 years in the first instance.

Applications are invited for a post-doctoral research associate to carry out a joint project, co-supervised by Professor Pietro Lio at the Department of Computer Science and Technology at the University of Cambridge and Mr Francesco Tuveri and his colleagues at bioinformatics group, Astex Pharmaceuticals to investigate the use of multimodal machine learning approaches to model both the phenotypic and genetic dynamics of Parkinson's disease. Using brain imaging and molecular data available in patient repositories such as Parkinson Progression Markers Initiative (PPMI) and the UK Biobank, the postholder will explore different approaches to blend existing statistical bioinformatics modelling with modern deep learning to develop predictive models of relevant biomarkers for patient subtyping.

The post holder will be based 50% at Department of Computer Science and Technology at the University of Cambridge and 50% at Astex Pharmaceuticals, which will provide a great opportunity to interact with colleagues at the Department of Computer Science and Technology at the University of Cambridge, collaborate with the bioinformatics and Machine learning teams at Astex, and gain exposure to a multi-disciplinary pharma environment at Astex.

https://www.jobs.cam.ac.uk/job/49055/