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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.
Exoskeleton Retinal prosthesis human to human interface Connectomics Graph Theory neuroethics tCS CPG Biometrics Plasticity Trajectories systems-neuroscience music recommendation music neuroscience Deep Learning Interpretability Learnable Filters network neuroscience multiplexing Conferences music perception brain networks modularity community detection brain to brain interface transcranial direct current stimulation music Sparse neurons Noise Deep Brain Stimulation LFP Neural coding TMS Computational Neuroscience Brain-inspired Computing Neuroimaging Wavelets Neuro-inspired Computing neuroprosthetics Bionics Machine Learning neural recordings EEG Information Theory Dimensionality Reduction Modelling Neural Networks Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Research Brain Interfaces
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