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Two positions in machine learning in cognitive neuroscience

last modified Mar 05, 2018 05:01 PM
2 positions (Post-doctoral fellowship and PhD studentship) are available to work at the Adaptive Brain Lab, University of Cambridge, UK.

Work in the lab aims to understand how humans of all ages translate sensory experience into complex decisions and adaptive behaviours. 

Projects will focus on machine learning applications in neuroscience. We aim to develop predictive models that synthesise multivariate data (high-field brain imaging and behaviour) to understand the mechanisms that mediate individual ability for learning and brain plasticity.

Applicants should have a degree in a relevant area (e.g., Neuroscience, Mathematics, Engineering, Computer Science, Physics). Programming skills are essential and experience with computational modelling and/or brain imaging preferable.

Please apply online: 

Post-doctoral fellowship: http://www.jobs.cam.ac.uk/job/15817/

PhD studentship: http://www.jobs.cam.ac.uk/job/15753/

Please direct Informal enquiries to Prof. Zoe Kourtzi (zk240@cam.ac.uk)

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Mar 22, 2018

This March saw the return of the Cambridge Science Festival #csf2018. This is an annual, city wide event which showcases the variety of new and exciting science going on across Cambridge. Members of the Adaptive Brain Lab enjoyed hosting a stall for the day on Saturday 17 March, and Prof. Kourtzi (head of the lab) is giving a talk at Mill Lane Lecture Rooms tonight (Thursday 22 March) at 6pm.

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