I am looking to hire a postdoc with a focus on machine
learning/Bayesian statistics. We apply these techniques to analyze
neural data and to build models of human behavior in a broad
collaboration with experimental groups. For example, we ask how to
simultaneously record from all neurons in the brain  which
information specific neurons represent , predict which neuroscience
professors will be successful , analyze how neurons interact 
and how people are able to move despite their muscles constantly
In the lab I personally love the intellectual, stimulating, positive
interactions, the strong collaborators, and it helps to be in one of
the truly amazing cities.
The work requires a relatively high level of technical proficiency in
matlab/python and a certain level of mathematics.
If interested: send an email to Konrad Kording.
 Joshua I. Glaser, Bradley M. Zamft, Adam H. Marblestone, Jeffrey
R. Moffitt, Keith Tyo, Edward S. Boyden, George Church, Konrad P.
Kording, PLoS Comput Biol 2013
 Saliency and saccade encoding in the frontal eye field during
natural scene search, Fernandes HL, Stevenson IH, Phillips AN,
Segraves MA, Kording KP, Cerebral Cortex 2013
 Future impact: Predicting scientific success, D. E. Acuna, S.
Allesina, K. P. Kording Nature 2012
 Functional connectivity and tuning curves in populations of
simultaneously recorded neurons, IH Stevenson, BM London, ER Oby, NA
Sachs, J Reimer, B Englitz, SV David, SA, and Kording KP, PLoS
computational biology 2012
 Estimating the sources of motor errors for adaptation and
generalization, M Berniker, K Kording, Nature Neuroscience, 2008
773 - liberate
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