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Tenure-track position in vertebrate neurophysiology
by Holmes, William Nov. 15, 2014

Nov. 15, 2014

Tenure-Track Position in Vertebrate Neurophysiology The Neuroscience Program in the Department of Biological Sciences at Ohio University invites applications for a full time tenure-track position in Vertebrate Neurophysiology. Candidates should have expertise in vertebrate electrophysiology, broadly defined, and interests in computational modeling approaches to enable interaction with faculty in Ohio University's interdisciplinary Quantitative Biology Institute (QBI). Candidates who combine electrophysiology and modeling approaches are especially encouraged to apply. Candidates are expected to have a PhD or equivalent degree, relevant postdoctoral training, and evidence of scholarly research. The successful candidate will be expected to develop an independent and vibrant extramurally funded research program, participate in undergraduate and graduate teaching, and mentor undergraduate and graduate students, including those in the Honors Tutorial College Neuroscience major. Primary teaching responsibilities include an upper level/graduate course in Human Neuroscience and a non-majors functional anatomy course, which covers the musculoskeletal system and its control by the nervous system. The application should include a curriculum vitae, a statement of research interests including future plans and a statement of teaching philosophy. Applications must be electronically uploaded to https://www.ohiouniversityjobs.com/postings/11999. In addition, candidates will be asked to key in contact information including email addresses for at least three references. Reference providers will receive an auto-generated email request including a quick-link by which to upload a letter of reference. The position will remain open until filled. For full consideration, applications must be received by January 2, 2015 (11:59 p.m. EST). Ohio University is committed to creating a respectful and inclusive educational and workplace environment. Ohio University is an equal access/equal opportunity and affirmative action employer with a strong commitment to building and maintaining a diverse workforce. Women, persons of color, persons with disabilities, and veterans are encouraged to apply.

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Deadline extension | ALLDATA 2015 || April 19 - 23, 2015 - Barcelona, Spain
by Cristina Pascual Nov. 13, 2014

Nov. 13, 2014

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to ALLDATA 2015. The submission deadline is December 8, 2014. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ALLDATA 2015 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ALLDATA 2015, The First International Conference on Big Data, Small Data, Linked Data and Open Data April 19 - 23, 2015 - Barcelona, Spain General page: http://www.iaria.org/conferences2015/ALLDATA15.html Call for Papers: http://www.iaria.org/conferences2015/CfPALLDATA15.html Submission page: http://www.iaria.org/conferences2015/SubmitALLDATA15.html Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini-symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: December 8, 2014 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html ALLDATA 2015 Topics (topics and submission details: see CfP on the site) BIG DATA Big data foundations; Big data understanding (knowledge discovery, learning, consumer intelligence); Big data semantics, search and mining; Big data processing and transformations; Big data handling, simulation, visualization, modeling tools, and algorithms; Managing big data (large-scale, integration, etc.); Unknown in large Data Graphs; Reasoning on Big data; Big data analytics for prediction; Applications of Big data (health, financial, social, weather forecasting, etc.; Business-driven Big data; Big data and cloud technologies; Technologies handling Big data; High performance computing on Big data; Big data persistence and preservation; Big data protection, integrity and privacy ; Big data toolkits SMALL DATA Social networking small data; Relationship between small data and big data; Statistics on Small data; Handling Small data sets; Predictive modeling methods for Small data sets; Small data sets versus Big Data sets; Small and incomplete data sets; Normality in Small data sets; Confidence intervals of small data sets; Causal discovery from Small data sets; Deep Web and Small data sets; Small datasets for benchmarking and testing; Validation and verification of regression in small data sets; Small data toolkits LINKED DATA RDF and Linked data; Deploying Linked data; Linked data and Big data; Linked data and Small data; Evolving the Web into a global data space via Linked data; Practical semantic Web via Linked data; Structured dynamics and Linked data sets; Quantifying the connectivity of a semantic Linked data; Query languages for Linked data; Access control and security for Linked data; Anomaly detection via Linked data; Semantics for Linked data; Enterprise internal data 'silos' and Linked data; Traditional knowledge base and Linked data; Knowledge management applications and Linked data OPEN DATA Open data structures and algorithms; Designing for Open data; Open data and Linked Open data; Open data government initiatives; Big Open data; Small Open data; Challenges in using Open data (maps, genomes, chemical compounds, medical data and practice, bioscience and biodiversity); Linked open data and Clouds; Private and public Open data; Culture for Open data or Open government data; Data access, analysis and manipulation of Open data; Open addressing and Open data; Specification languages for Open data; Legal aspects for Open data ---------------------------------- ALLDATA 2015 Chairs Mark Balas, Embry-Riddle Aeronautical University in Daytona Beach, USA Andreas Schmidt, University of Applied Sciences Karlsruhe | Karlsruhe Institute of Technology, Germany Fabrice Mourlin, Universit� Paris-Est Cr�teil Val de Marne, France Dan Tamir, Texas State University, USA Yeh-Ching Chung, National Tsing Hua University, Taiwan Committee: http://www.iaria.org/conferences2015/ComALLDATA15.html ================================================

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Open positions in Computational Neuroscience - visit the Bernstein Network at booth #3235 at SfN 2014!
by Kerstin Schwarzwälder Nov. 13, 2014

Nov. 13, 2014

Dear all, as in past years, the Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2014. Please find us at the "Neuroscience in Germany" booth #3235. The exhibition presents the network’s research areas, study and training opportunities and job announcements. We look forward to welcoming you at booth #3235! Best regards, Kerstin Schwarzwaelder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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[Jobs] Postdoctoral Position in Hong Kong
by Wutao Lou Nov. 12, 2014

Nov. 12, 2014

*Postdoctoral Position in Research Centre for Medical Image Computing at The Chinese University of Hong Kong* Inquiries and applications are invited from highly productive, creative and ambitious young scientists for a Postdoctoral Fellowship Post in the Research Centre of Medical Imaging Computing at The Chinese University of Hong Kong! We are recruiting one highly motivated postdoctoral scientist in the field of neuroimaging to work on the funded project for multimodal neuroimaging (fMRI, DTI, EEG etc.) analysis of the brain network. The post will be available from 1th January 2015 or as soon as possible thereafter for two years with salary around 30,000 HKD/month. The applicant should have a PhD degree in neuroscience, engineering, or related disciplines from world-renowned institutions. Abilities in critical thinking, independent research, and communication with multidisciplinary colleagues are required. Qualified applicants are welcome to send CV to Dr. Defeng Wang dfwang(a)cuhk.edu.hk.

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GENESIS 2.4 final release now available
by Dave Beeman Nov. 12, 2014

Nov. 12, 2014

The November 2014 GENESIS 2.4 release is the first major revision of the GENESIS 2 neural simulator since the "final" release of GENESIS 2.3 in March 2006. Afterwards, development efforts shifted towards GENESIS 3 (G-3), a 21st century neural simulator without the limitations of GENESIS 2 and other simulators that were developed in the late 1980's and 90's. At this point, G-3 is still in the development stage. Although GENESIS 2.3 was intended to be the last release of the GENESIS 2 series, it has continued to used and to evolve, with modifications needed to efficiently implement synaptic plasticity in large networks and many contributions from users. This has made it necessary for a new November 2014 GENESIS 2.4 release. This new release is now avalable for download from the GENESIS 2 website http://genesis-sim.org/GENESIS/. If any of you will be attending SfN, you can find out more about it at my poster 99.09 (TT88) on Sat, Nov. 15, 2014, 1:00 PM - 5:00 PM The GENESIS 2.4 release includes: * The 'stdp_rules' object, documentation, and Scripts for implementing spike timing dependent plasticity in networks of hsolved cells * New network connection commands allow distance-dependent connection probabilities and/or weights, or the use of periodic boundary conditions for network connectivity. * The chemesis library for modeling second messengers and calcium dynamics * Various user-contributed bug-fixes, utilities, and improvements. * A new autoconf-based build system, so that a simple "./configure" command will create the appropriate Makefile. This has been tested under recent Linux and Mac OSX versions. The older method is also available for platforms not supported by autoconf. * HTML indexing in the 'genesis' directory and subdirectories, for easy browsing of the GENESIS directory system and documentation. * New tutorial Scripts for chemesis, gpython-tools, purkinje, stdp_rules, VAnet2 Dave Beeman ---------------------------------------------------------------------------- Prof. David Beeman, GENESIS Users Group email: genesis(a)genesis-sim.org - dbeeman@.colorado.edu GENESIS WWW site: http://www.genesis-sim.org/GENESIS/ ----------------------------------------------------------------------------

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[SfN] Computational Neuroscience Social at SfN on Tuesday, November 18
by viola Nov. 11, 2014

Nov. 11, 2014

Dear Colleagues, We write to call your attention to the upcoming computational neuroscience social at the SfN in Washington, DC next week. ** Join us for an evening with elegant models, great spirits, networking theories, and quadrillions of action potentials! Reunite with old friends, make new ones, mingle with top researchers and special guests, and learn about upcoming CompNeuro events. Everyone is welcome! *Special Guests* William Bialek, Kim Blackwell, Nicolas Brunel, Sophie Deneve,Gaute Einevoll, Boris Gutkin, Kenneth Harris, Dietmar Plenz,John Rinzel, Erik De Schutter, Idan Segev, Friedrich T. Sommer, and Tatjana Tchumatchenko We are pleased to confirm the participation of our guest of honor, *Wilfrid Rall.* ** Please feel welcome to *advertise* your summer schools, conferences, tool boxes, journals, associations, or jobs in the field of computational neuroscience in the form of flyers or posters (sugg. max A3, for jobs max A4, poster boards provided), and/or have representative available for informal discussion. *Location: *Renaissance Washington, DC: Renaissance East *Time:* Tuesday, November 18, 6:45-8:45 PM ** Hope to see you in DC! Eilif Muller Viola Priesemann --- Dr. Eilif Muller EPFL - Blue Brain Project Lausanne, Switzerland http://bluebrain.epfl.ch/page-77926-en.html Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization Goettingen, Germany http://www.nld.ds.mpg.de/people/priesemann -- please use my new e-Mail: viola(a)nld.ds.mpg.de MPI for Dynamics and Self-Organization, Göttingen www.nld.ds.mpg.de/people/priesemann

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Call for Applications: Bernstein Award for Computational Neuroscience 2015
by Kerstin Schwarzwälder Nov. 11, 2014

Nov. 11, 2014

Dear colleagues, I would like to bring to your attention that for the tenth time, the German Federal Ministry of Education and Research (BMBF) has announced an open call for applications for the "Bernstein Award". The "Bernstein Award for Computational Neuroscience" is endowed with up to 1.25 Mio € for a period of five years and allows young scientists of all nationalities to establish an independent research group at a German university or research institution. The BMBF announcement can be found under the following links: German version <http://www.gesundheitsforschung-bmbf.de/de/2476.php> English version <http://www.gesundheitsforschung-bmbf.de/_media/Bernstein_Award_2015_Call_fo…> Posters to announce the Bernstein Award locally can be downloaded from here: German version <http://www.nncn.de/pdfs/poster_ausschreibung_bernsteinpreis2015_de> English version <http://www.nncn.de/pdfs/poster_ausschreibung_bernsteinpreis2015_en> Application deadline is April 15, 2015. Kind regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Bernstein Coordination Site of the National Bernstein Network Computational Neuroscience Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg Germany phone: +49 761 203 9594 fax: +49 761 203 9585 schwarzwaelder(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany <http://twitter.com/NNCN_Germany> YouTube: Bernstein TV <http://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany <https://www.facebook.com/BernsteinNetwork> LinkedIn: Bernstein Network Computational Neuroscience, Germany <http://www.linkedin.com/company/bernstein-network-computational-neuroscienc…>

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G-Node Winter Course on Neural Data Analysis 2015
by Thomas Wachtler Nov. 11, 2014

Nov. 11, 2014

7th G-Node Winter Course on Neural Data Analysis February 23 - 27, 2015 in Munich, Germany The German Neuroinformatics Node (G-Node) organizes its seventh international training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. The course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods, as well as from students with a theoretical background that have an interest in analyzing physiological data. Participants must have ample programming skills in Matlab or Python. Faculty: Jan Grewe · Eberhard Karls Universität Tübingen Alex Loebel · Ludwig-Maximillians-Universität München and BCCN München Moritz Grosse-Wentrup · Max Planck Institute for Intelligent Systems Tübingen Thomas Wachtler · Ludwig-Maximillians-Universität München and BCCN München Topics: · Short-term plasticity · Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding · Deadline for application: December 19, 2014 For more information visit http://www.g-node.org/dataanalysis-course-2015 With best regards, Jan Grewe (Organizer, Tübingen) and Thomas Wachtler (Local Organizer, Munich)

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Doctoral studies at the Princeton Neuroscience Institute
by Yael Niv Nov. 11, 2014

Nov. 11, 2014

The Graduate Program in Neuroscience at Princeton University offers a unique and intensive program of study spanning molecular, cellular, systems and cognitive neuroscience, followed by advanced research in a world-class Princeton laboratory. We seek highly motivated and creative students in our efforts to understand the brain. A listing of faculty affiliated with the program can be found online at www.princeton.edu/neuroscience, and below. Our doctoral program is flexible and individually-tailored, and we encourage students to pursue research with more than one faculty and across departmental boundaries. Applications for entry in the Fall of 2014 are now being accepted, with a deadline of December 1. For details, including contact information, please visit www.princeton.edu/neuroscience. Michael Berry - Neural computation in the retina William Bialek - Interface between physics and biology Matthew Botvinick - Neural foundations of human behavior Lisa Boulanger - Neuronal functions of immune molecules Carlos Brody - Quantitative and behavioral neurophysiology Tim Buschman - Neural dynamics of cognitive control Jonathan Cohen - Neural bases of cognitive control Lynn Enquist - Neurovirology Liz Gavis - Neural development and mRNA localization in Drosophila Alan Gelperin - Learning, memory and olfaction Asif Ghazanfar - Neurobiology of primate social agents Elizabeth Gould - Neurogenesis and hippocampal function Michael Graziano - Sensorimotor integration Charles Gross - Functions of the cerebral cortex in behavior Uri Hasson - Temporal scales of neural processing Philip Holmes - Mathematical modeling John Hopfield - Computational neurobiology/biophysics Barry Jacobs - Brain monoamine neurotransmitters Sabine Kastner - Neural mechanisms for visual perception Carolyn McBride - Molecular and neural basis of behavioral evolution Mala Murthy - Neurophysiology of olfactory and auditory perception in Drosophila Coleen Murphy - Molecular mechanisms of aging Yael Niv - Reinforcement learning and decision making Ken Norman - Neural bases of episodic memory Jonathan Pillow - Neural information processing, machine learning, and statistical modeling of neural data Sebastian Seung - Structure and function of neural circuits Joshua Shaevits - Neural and behavioral dynamics in simple organisms David Tank - Neural circuit dynamics Jordan Taylor - Motor control and learning Alexander Todorov - Cognitive neuroscience of social cognition and behavior Nicholas Turk-Browne - Cognitive neuroscience of attention, perception and memory Samuel Wang - Dynamics and learning in neural circuits Ilana Witten - Neural circuits underlying reward and motivation

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Faculty positions in applied statistics
by Robert Rosenbaum Nov. 11, 2014

Nov. 11, 2014

Dear colleagues, The ACMS department at Notre Dame is hiring two statistics professors, one tenured and one tenure-track. The department strongly supports interdisciplinary and collaborative research, so researchers who focus on statistical applications in neuroscience are encouraged to apply. Applications should be received by Dec 1. See the full advertisement below. The University of Notre Dame has committed four new faculty positions to the Department of Applied and Computational Mathematics and Statistics (ACMS) to be filled over the next two years. Positions at both the junior and senior level are available. This year we seek to hire a statistician at the tenured level, and a statistician at the tenure-track level, in any areas of research that build on our existing activities. Preference will be given to applicants whose statistical research includes multi-disciplinary collaborations. ACMS includes research groups in applied mathematics, statistics and computational science. The current fourteen faculty members have research interests in Bayesian statistics, statistical bioinformatics and high-dimensional data, finance, statistics in networks and Big Data, multiscale modeling of blood clotting and biofilms, mathematical modeling in cell biology and tumor growth, MEMS, and numerical and computational algorithms and computational neuroscience. ACMS offers a Bachelor of Science, a doctoral degree, a research masters degree and a professional masters degree. ACMS is a member of the College of Science. The successful applicant must have a doctorate in statistics, biostatistics or a closely related field, and a record of success in both research and teaching. The teaching load in ACMS is 3 courses per year, and the position begins in August 2015. Applications received by December 1, 2014 will be given full consideration. Applications, including a cover letter, curriculum vitae and research and teaching statements, should be filed through MathJobs (www.MathJobs.org) Applicants should also arrange for at least three letters of recommendation to be submitted through the MathJobs system. These letters should address the applicant's research accomplishments and supply evidence that the applicant has the ability to communicate articulately and teach effectively. Senior faculty are invited to contact the Department Chair, Steven Buechler, at buechler.1(a)nd.edu, at any time. Notre Dame is an equal opportunity employer, and we particularly welcome applications from women and minority candidates. — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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