Research Associate (5 posts available)University of Glasgow - Institute of Neuroscience and PsychologyYou will contribute to Wellcome Trust funded research entitled "Natural and modulated neural communication: State-dependent decoding and driving of human Brain Oscillations" (Joint Investigators: Gregor Thut, Joachim Gross). This is one of 5 simultaneously filled 5-year Research Associate positions covering different aspects of the above project.The job requires working in an interdisciplinary team of researchers on longstanding questions of how brain oscillations orchestrate brain functions, or relate to brain dysfunction. Depending on the position within the team, this will involve the development and/or application of new analysis methods to eavesdrop on brain communication and decode some of the information coded in brain oscillations (MEG/EEG), or using this knowledge for controlled intervention into brain oscillations by transcranial stimulation to modulate brain function (combined TMS/tACS-EEG).For more information on the position and environment please write to Joachim.Gross@glasgow.ac.uk, or Gregor.Thut@glasgow.ac.uk This post has funding available until 31 December 2017Ref: 002653Please apply here: http://www.gla.ac.uk/about/jobs/Salary: Grade 7, 31,948 - 35,938 per annumClosing date: 15 October 2012 POST-DOC IN BRAIN NETWORKS AT IMT LUCCA (www.imtlucca.it). Deadline forapplications is October 26th 2012.IMT Institute for Advanced Studies Lucca invites applications for aPost-Doctoral Fellowship in Brain Network Analysis, with specific emphasison the reconstruction of networks from time-signal analysis and thedetection of communities. Other than a PhD in NMR and internationalexperience in the field, candidates must have an excellent record ofhigh-impact international publications and should demonstrate enthusiasm forperforming applied research in an interdisciplinary Research Unit.The appointed candidate will join the NATWORKS - Natural Networks researchunit (http://natworks.imtlucca.it/) and specifically the APrICor (Analysisand Processing of Image Correlation) project. The projects main objectiveis the definition of a framework for the interpretation of dynamical,multiparametric biomedical images based on advanced statistical analysismethods. More specifically, it will explore the benefits of acomplex-network representation of spatially and temporally correlatedsignals to extract topological features that may be informative of theunderlying dynamical processes. The project will establish and validatebiological correlates for these features, in order to make this frameworkuseful for biological and medical research purposes. Software tools based onthese concepts will be developed and integrated within a flexible platformfor image analysis that will be made available to the scientific community.IMT Lucca is a public international Graduate School and Institute ofTechnology that acts as a research university with the aim of forming humancapital in disciplines characterized by their high potential for concreteapplications. IMT strives to reach the fusion of theoretical comprehensionand practical relevance.For further information about the position and the online form, applicantscan refer to the website, or can contact pdf.calls@imtlucca.it.Sara L. OlsonCommunication & EventsIMT Institute for Advanced Studies LuccaPiazza San Ponziano, 655100 Lucca ItalyTel: +39 0583 4326 597Fax: +39 0583 4326 565E-mail: sara.olson@imtlucca.itwww.imtlucca.it--------------------------The content of this message and of its attachments is under exclusiveresponsibility of the account owner and doesn't bind IMT anyhow with respectto the recipient or third parties._______________________________________________Comp-neuro mailing listComp-neuro@neuroinf.orghttp://www.neuroinf.org/mailman/listinfo/comp-neuro POST-DOCTORAL RESEARCH FELLOWComputational modelling of the neural mechanisms of spatial cognitionA post-doctoral research position in Neil Burgesss lab. at UCL is available for computational modelling of the interactions between grid cells and place cells in coding spatial location