Postdoc - Systems Neuroscience / Computational Neurology
Core
Develop data-driven, cross-species and cross-scales computational models of motor control based on behavioral, kinematic, fMRI, EEG, TMS, and electrophysiological data from humans and mice.
Role type
Postdoctoral researcher in computational neuroscience (systems/motor control)
Builds
Computational models of motor control
Domain
Neuroscience / Computational Neurology / Motor Systems
Deliverable
production ML models
Required skills
Data-driven computational modeling, Programming (Matlab/Python), Cross-species data analysis, fMRI/EEG/TMS data processing, Electrophysiological recording analysis
Preferred skills
Knowledge of motor system, Translational research experience
Technologies
Matlab, Python, fMRI, EEG, TMS, tDCS
Responsibilities
Develop computational models of motor control, Present and publish results, Interact with team members and collaborators from Psychology, Medicine, Biology and Computational Neuroscience, Participate in CRC1451 events
