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University of California, San Francisco |
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Network for the study of Brain Systems and Dynamics (NBSD)Please contact:Gregory V. Simpson, Ph.D. Director, Dynamic Neuroimaging Laboratory 415-502-6522 Email: greg.simpson@radiology.ucsf.edu Web: http://dnl.ucsf.edu/ Network Members
Network Director International Consortium for Brain MappingUCSF's DNL is a Research Partner in the International Consortium for Brain Mapping.
Available PositionsPost-doctoral PositionsFour post-doctoral research fellow positions are available immediately in a consortium of Cognitive Neuroscience/Computational Science laboratories to study the dynamical systems of large-scale brain networks with EEG, MEG and fMRI. We are seeking individuals to adapt/refine and apply cutting-edge tools to analyses of high density EEG, MEG and fMRI data ranging from brain source imaging to functional connectivity and other modeling methods. The cognitive neuroscience aspect of the research emphasizes attention and working memory. Candidates should have a Ph.D. in computational or cognitive neuroscience (or in an area that provides similar background) with substantial mathematical/computational experience (especially in time series, dynamical systems analyses, neurophysiological signal processing, multivariate or Bayesian statistical analyses). Fellows will have a multidisciplinary training experience through interactions with all laboratories. Please contact the lab directors of any of the sites listed below.Dynamic Neuroimaging Lab OpeningUCSF Dynamic Neuroimaging Laboratory has a post-doctoral position available immediately as part of the Network for the Study of Brain Systems and Dynamics (see the DNL website, http://dnl.ucsf.edu/). The candidate should have a background in MEG and/or EEG source localization including the use of fMRI data, or sufficient mathematical background to be able to learn these methods quickly. The position involves working on MEG, EEG, fMRI data recorded in attention and working memory tasks. In addition to applying source imaging tools to these data, the post-doctoral fellow will have the opportunity to work with colleagues at the Los Alamos National Lab on Bayesian approaches, and to a lesser degree with investigators at the other Network sites using a variety of dynamic systems analyses.
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