A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s.
The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org).
The post is for 3 years, full-time.
Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs.
Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries@nottingham.ac.uk.
For full details of the role and how to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522
Closing date: October 26th 2022
Professor Mark Humphries | Professor of Computational Neuroscience
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