We are seeking an ambitious and talented postdoctoral research associate to join our team to work on a computational project focussed on predicting TDP-43 mutant phase separation and aggregation in the context of elucidating the molecular driving forces behind motor neurone disease. This project is part of a Discovery Network funded by the My Name'5 Doddie Foundation ['Dissecting a TDP-43 knock-in allelic series to yield diverse MND drug targets'].
The successful candidate will join research groups led by Dr Aleks Reinhardt in the Department of Chemistry and Prof. Rosana Collepardo-Guevara in the Departments of Chemistry and Genetics, University of Cambridge. Both groups focus on developing computational and statistical-mechanical approaches to model the physical properties of matter and their underlying molecular mechanisms, including in biological systems. The overarching Discovery Network spans King's College London, the University of Dundee and the University of Cambridge.