-
20
Nov
Postdoctoral fellow position (research associate) in the group of Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Closing date: 7 December 2009
Postdoctoral fellow position (research associate) in the group of Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Closing date: 7 December 2009
Application deadline: December 1, 2009
The goal of the Computational Neuroscience Graduate Program at UCSD
is to train researchers who are equally at home measuring large-scale brain activity, analyzing the data with advanced computational techniques, and developing new models for brain development and function.
The Computational and Biological Learning Lab (CBL) at the Department of Engineering uses engineering approaches to understand the brain and to develop artificial learning systems. Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems.
neuroethics Retinal prosthesis Exoskeleton human to human interface tCS Trajectories CPG Biometrics Plasticity Graph Theory Connectomics modularity multiplexing network neuroscience music neuroscience systems-neuroscience community detection brain networks Conferences music recommendation music perception transcranial direct current stimulation brain to brain interface music TMS Neural coding LFP Sparse neurons Noise Deep Brain Stimulation Computational Neuroscience Wavelets Brain-inspired Computing Neuro-inspired Computing Neuroimaging EEG neuroprosthetics Bionics Machine Learning neural recordings Information Theory Dimensionality Reduction Neural Networks Modelling Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Research Brain Interfaces
WP Cumulus Flash tag cloud by Roy Tanck requires Flash Player 9 or better.