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CFP- Frontiers Research Topic: Cortico-striato-nigro-thalamo-cortical Modeling for Understanding Motor Function and Neurodegenerative Disease

by Zheng

To whom it may concern: In collaboration with Frontiers in Computational Neuroscience, we are organizing a Research Topic titled "Cortico-striato-nigro-thalamo-cortical Modeling for Understanding Motor Function and Neurodegenerative Disease”, hosted by Pengsheng Zheng, James Kozloski, Timothy Rumbell, George V. Rebec. As host editor, I would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear. http://frontiersin.org/Computational_Neuroscience/researchtopics/Cortico-st… Movement in the body is directly controlled by motor cortex, and also determined by multiple subcortical structures, such as thalamus and the basal ganglia (including striatum and dopamine neurons in the substantia nigra). Many lines of evidence have suggested the cortico-striato-nigro-thalamo-cortical circuitry plays a major role in motor learning and control. This circuitry has also been investigated for its causal role in the onset and progression of neurodegenerative diseases. Neurodegenerative diseases are often associated with movement disorders and neuronal dysfunction in degenerated brain structures, such as the striatum in Huntington’s disease and dopaminergic neurons in the substantia nigra pars compacta in Parkinson's disease. Degeneration fundamentally changes the dynamics of local neuronal circuits, and these changes then propagate through the structural connectome of whole brain circuitry, eventually altering global brain dynamics. However, our current understanding of these system dynamics in the cortico-striato-nigro-thalamo-cortical circuitry remains rudimentary. Hence, theoretical studies about critical system variables and computational principles of this circuitry, constrained by recordings throughout, will shed new light on causes of motor dysfunction and neurodegenerative diseases. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of cortico-striato-nigro-thalamo-cortical network and experimental observations. Topics of interest include, but are not limited to, local brain circuit modeling, the functional role of neuronal plasticity in the local and global circuit, global circuit interactions and information exchange, new models validated by experimental observations, and dynamic disease risk analysis through perturbation studies. Best regards, Pengsheng Zheng zhengp(a)us.ibm.com <mailto:zhengp@us.ibm.com> T.J. Watson Research Center 1101 Kitchawan Rd., 13-114A Yorktown Heights, NY 10598

April 13, 2016

Summer School "Advanced Scientific Programming in Python" in Reading, UK, September 5--11, 2016

by Etienne B. Roesch

*Advanced Scientific Programming in Python* a Summer School by the G-Node, and the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org *Application deadline: 23:59 UTC, May 15, 2016. Be sure to read the FAQ before applying. * Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Travel grants may be available. *Date & Location * September 5—11, 2016. Reading, UK *Program * - Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization - Software Carpentry • Test-driven development • Debugging with a debugger • Profiling code - Scientific Tools for Python • Advanced NumPy - Advanced Python • Decorators • Context managers • Generators - The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data - Practical Software Development • Group project *Preliminary Faculty * • Francesc Alted, freelance consultant, author of PyTables, Spain • Pietro Berkes, Enthought Inc., Cambridge, UK • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, VA, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Tiziano Zito, freelance consultant, Germany *Organizers * For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany For the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading UK: • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK *Website*: https://python.g-node.org *Contact*: python-info(a)g-node.org Kind regards, Etienne ----- Dr. Etienne B. Roesch Lecturer in Cognitive Science University of Reading

April 13, 2016

Early Career Research Fellowship in Systems Biology / Machine Learning for Food and Disease

by Steuber, Volker

Early Career Research Fellowship in Systems Biology / Machine Learning for Food and Disease Closing date: 17 May 2016 Salary: £31,656 - £37,768 per annum depending on skills and experience. The University of Hertfordshire is investing in its future research staff and infrastructure, and is in the process of transitioning the delivery of its research under six Themes: Food; Global Economy; Health and Wellbeing; Heritage, Cultures and Communities; Information and Security; Space. These will assist in the further development of research excellence and provide both increased external profile and internal focus for Hertfordshire’s research activities. Six new Research Fellow posts are each offered for a five year term in the first instance. It is our expectation, however, that successful appointees will grow their research activities to become permanent academic staff members by the end of that period. Further particulars for the ECRF in Systems Biology / Machine Learning for Food and Disease Qualifications required: You must have a first degree in a science, such as biology, computer science, mathematics or a relevant subject, and a doctoral degree in bioinformatics, machine learning, quantitative genetics or a related subject area. Experience in systems biology, big data science or genomics will be particularly relevant. Research focus and environment: This Fellowship will focus on emerging methods in biocomputation that generate and exploit large data sets of biological information available from genomics, transcriptomics, proteomics and metabolomics to better understand mechanisms of host resistance/immunity and/or resistance breakdown. The Fellow will generate an improved understanding of relevant biological systems to develop specific strategies to combat infectious diseases caused by plant, animal or human pathogens. This Fellowship will be supported by existing collaborations between colleagues in Schools of Life & Medical Sciences (Kukol, Stotz, Barling, Fitt) and Computer Science (Steuber). The Fellow is expected to use the University’s high performance computer cluster. Experience and skills required for the post (i) Considerable experience with big data analysis and machine learning, including working knowledge of scripting languages like Perl, Python and/or R; (ii) Knowledge of genomic research techniques, such as next-generation sequencing, proteomics and/or metabolic profiling; (iii) Practical experience with the application of numerical analysis and/or mathematical models to biological datasets, for example in genomics or quantitative genetics; (iv) Evidence of original research published in high impact journals. Research expectations The Fellow is expected to develop a collaborative research program with our academic partners. We envisage that the Research Fellow will become a permanent staff member, supported by funding from successful research grant applications and developing new areas of teaching, especially at the post-graduate level. To ensure this, the two Schools will provide career training for the Fellow. The Fellow will have established collaborations with companies and successfully obtained co-funded industry-government projects. The Fellow will continue to publish high-impact papers and be leading an internationally recognised research team. Description of the Schools: The Early Career Research Fellow will work with and receive support from the School of Life and Medical Sciences and the School of Computer Science. The successful candidate can build on the strengths of both Schools and may combine experiment-based empirical research with data-based analysis. Within the School of Life and Medical Sciences (http://www.herts.ac.uk/apply/schools-of-study/life-and-medical-sciences/res…) the Centre for Agriculture, Food and Environmental Management (CAFEM) is a research and teaching collaboration with the Royal Veterinary College, Rothamsted Research and Oaklands College. The Fellow will work with researchers in CAFEM who have experience with systems biology applicable to crop protection, combining experimental field and lab research with computational modelling. Within the School of Computer Science, research in the Biocomputation Research Group (http://biocomputation.herts.ac.uk/) involves development of computational models to study biological systems and application of biologically-inspired machine learning algorithms for the analysis of "real-world" data. Members of the Biocomputation Group analyse and simulate computational models at different levels of complexity and collaborate closely with leading experimentalists in the UK and abroad. Informal enquiries are encouraged and should be made to Professor Bruce Fitt, Professor of Plant Pathology, email: b.fitt(a)herts.ac.uk / Tel + 44 (0)1707 284751 or Dr Volker Steuber, Reader in Biocomputation and Head of the Biocomputation Research Group, email: v.steuber(a)herts.ac.uk / Tel: +44 (0)1707 284350. Applications should be made through http://www.herts.ac.uk/contact-us/jobs-and-vacancies/research-vacancies, job reference 013457.

April 13, 2016

Advances in Neuroinformatics and INCF Nodes WS in Japan, May 28-29 - Abstract submission closes April 18

by Malin Sandström

Dear neuroinformatics community members, would you like to stay up to date on recent neuroinformatics developments in Asia? Are you looking for new collaborators in Japan and/or Asia and the Pacific region? There is one week left to submit abstracts for the combined INCF Nodes Workshop and Japan Node AINI (Advances in Neuroinformatics) on *May 28-29*. The location is RIKEN's Wako campus, located in west Tokyo. The two meetings are integrated, with joint demo and poster sessions held on both days. The theme of AINI 2016 is "Integration of multidimensional neuroscience“, with keynotes by Maryann Martone, Thomas Wachtler, Jun'ichi Tsujii and Teiichi Furuichi. The INCF Nodes Workshop will be a scientific networking event with a special focus session on Asian and Pacific neuroinformatics, which has invited speakers from Australia, China, Japan, Korea, and Malaysia. The full program is available here: http://www.neuroinf.jp/aini2016/program.html *Registration is free of charge*, and open until May 20, while the *abstract submission is open until April 18*. An abstract will be 1/2 page in A4 size, and you may add one figure separately. Best regards on behalf of all organizers, Malin Sandström -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

April 13, 2016

Third call for posters/registration: Sixth International Symposium on Biology of Decision-Making (SBDM), 25-27 May 2016 @ Paris, France

by Mehdi Khamassi

[Please accept our apologies if you get multiple copies of this message] Dear colleagues, Deadlines are approaching concerning submission to/registration for the Sixth International Symposium on Biology of Decision Making (SBDM), which will take place in Paris on May 25-27th 2016. The full program can be seen here: http://sbdm2016.isir.upmc.fr/view.php/SBDM2016_Program_Titles.pdf If you want to attend SBDM 2016, please fill in the registration form at http://sbdm2016.isir.upmc.fr and then follow the instructions received by email. The deadline for poster submission is: April 30th 2016. The deadline for registration is: May 15th 2016. Registration fees (170 euros) include lunches, coffee breaks and social event. Please circulate widely and encourage your colleagues and team members to attend. Best regards The SBDM organizing committee ------------------------------------------------------------------------------------------------ SIXTH INTERNATIONAL SYMPOSIUM ON BIOLOGY OF DECISION MAKING (SBDM 2016) May 25-27, 2016, Paris, France Institut du Cerveau et de la Moelle Epinière, Hôpital La Pitié Salpêtrière, Paris, France. & Ecole Normale Supérieure, Paris, France. & Université Pierre et Marie Curie, Paris, France. http://sbdm2016.isir.upmc.fr ------------------------------------------------------------------------------------------------ PRESENTATION: The Sixth International Symposium on Biology of Decision Making will take place on May 25-27, 2016 at the Institut du Cerveau et de la Moelle Epinière, Paris, France, with a satellite day at Ecole Normale Supérieure, Paris, France. The objective of this three day symposium is to gather people from different research fields with different approaches (economics, ethology, psychiatry, neural and computational approaches) to decision-making. The symposium will be a single-track, will last for 3 days and will include 6 sessions: (#1) Cost of control, fatigue and decision-making; (#2) Emotion, stress and decision-making; (#3) Dynamics of decision-making; (#4) Decision-making across primates; (#5) Confidence, mood and decision-making; (#6) Learning, memory and decision-making. CONFIRMED SPEAKERS: Sébastien Bouret (CNRS - ICM, France) Michael Chee (Duke-NUS Medical School, Singapore) Anastasia Christakou (University of Reading, UK) Anne Churchland (Cold Spring Harbor Laboratory, USA) Stanislas Dehaene (Collège de France - INSERM - CEA, France) Adele Diederich (Jacobs University, Germany) Tobias H. Donner (University of Amsterdam, The Netherlands) Valérie Dufour (CNRS, France) Shelly Flagel (University of Michigan, USA) Steve Fleming (University College London, UK) Birte U. Forstmann (University of Amsterdam, The Netherlands) Julie Grèzes (CNRS - Ecole Normale Supérieure, France) Cendri Hutcherson (University of Toronto, Canada) Veronika Job (University of Zurich, Switzerland) Mehdi Khamassi (CNRS - Université Pierre et Marie Curie, France) Pascal Mamassian (Ecole Normale Supérieure - CNRS, France) Florent Meyniel (Collège de France - INSERM - CEA, France) Randall O'Reilly (University of Colorado Boulder, USA) Mathias Pessiglione (INSERM - ICM, France) Jonathan Pillow (Princeton University, USA) Timothy J. Pleskac (Max Planck Institute, Germany) Alexandra G. Rosati (Harvard University, USA) Robb Rutledge (University College London, UK) Jérôme Sallet (University of Oxford, UK) Carmen Sandi (Ecole Polytechnique Fédérale de Lausanne, Switzerland) Daniela Schiller (Mount Sinaï University, USA) Amitai Shenhav (Princeton University, USA) Mark Sheskin (Yale University, USA) Hiromu Tanimoto (Tohoku University, Japan) Angela J. Yu (University of California San Diego, USA) Alexandre Zenon (Université Catholique de Louvain, Belgium) IMPORTANT DATES: April 30, 2016 Deadline for Poster Submission May 7, 2016 Notification of Poster Acceptance May 15, 2016 Deadline for Registration May 25-27, 2016 Symposium Venue ORGANIZING COMMITTEE: Thomas Boraud (CNRS - IMN, Bordeaux, France) Kenji Doya (OIST, Okinawa, Japan) Mehdi Khamassi (CNRS - UPMC, Paris, France) Etienne Koechlin (CNRS - ENS, Paris, France) Mathias Pessiglione (ICM - INSERM, Paris, France) CONTACT INFORMATION : Website, registration, poster submission and detailed program: http://sbdm2016.isir.upmc.fr Contact: sbdm2016 [ at ] isir.upmc.fr / sbdm2016-registration [ at ] isir.upmc.fr -- Mehdi Khamassi, PhD Tenured research scientist (CR1 CNRS) Institute of Intelligent Systems and Robotics Université Pierre et Marie Curie - BC 173 4 place Jussieu, 75005 Paris, France tel: + 33 1 44 27 28 85 fax: +33 1 44 27 51 45 cell: +33 6 50 76 44 92 email: mehdi.khamassi(a)upmc.fr http://people.isir.upmc.fr/khamassi

April 12, 2016

Structural-functional brain modules: PhD position at BioCruces Institute, Bilbao, Spain

by Paolo Bonifazi

Within the Computational Neuroimaging group of Prof. Jesus Cortes at the BioCruces Health Research Institute (Bilbao, Spain), we are looking for a PhD student to develop and carry on a project aimed at identifying brain-connectivity biomarkers/descriptors(predictors) for brain pathologies/functional states. The project will rely on subjects/patients databases both acquired locally at the Cruces University Hospital, or provided through external regional/international collaborations or freely available on the web. The core of the study is based on the structural-functional brain modules, recently described in “A novel brain partition highlights the modular skeleton shared by structure and function” ( http://www.nature.com/articles/srep10532) and identified by reconstructing simultaneously on the same subjects brain connectivity networks, using functional and diffusion MRI. The PhD candidate will be also involved on a longitudinal multi-scale study of epileptic networks combining MRI and electrophysiological recordings in epileptic patients undergoing surgery. The project has been recently approved within the RETOS Spanish governmental grants. The PhD candidate will be closely supervised by Prof. J. M. Cortes ( http://www.jesuscortes.info/jesusweb/) and Dr. P. Bonifazi ( http://www.ikerbasque.net/paolo.bonifazi) and will work in close collaboration with the MDs of Neurology, Neurophysiology and Neurosurgery Division of the Cruces Hospital. The contract will be up to 3/4 years, with a gross salary of € 20,600 per year, with social security contributions and other recruitment costs paid by the host research institute (BioCruces). Deadline for application is May the 11th. Candidates with a deep interest in Neuroscience or Complex Networks and preferably with a solid background in Physics, Mathematics, Engineering or Medicine, are invited to send a motivation letter and the names of two referee to Dr. P. Bonifazi at paol.bonifazi(a)gmail.com. We look forward your interest, Yours Paolo Bonifazi

April 12, 2016

PhD positions on Multiscale Modelling of the Neuromuscular System for Deep Brain Stimulation

by Olga Grant

Background Deep Brain Stimulation (DBS) is an effective, safe and reversible method for treating the symptoms of Parkinson’s disease and other neurological disorders. It involves implanting electrodes in the brain to stimulate neurons responsible for symptoms including tremor, slowed movement and stiffness. Despite its success, the methods by which DBS works are not yet known and many questions remain to be answered in order to realize its full potential. Research within our group aims to improve our understanding of DBS and to identify new approaches for stimulation using computer models of networks of neurons within the brain and the neuromuscular system. Applications are invited for two full time PhD positions focusing on 1) Development of computational models of the neuromuscular system and 2) Closed loop control of deep brain stimulation for Parkinson’s disease. The start date for both projects will be September 2016 Who Should Apply Applicants should have, or expect to obtain, a first or upper second class honours Bachelors or Masters degree in Electrical, Electronic or Biomedical Engineering (or a related discipline). Suitable candidates will have a strong interest in biomedical/neural engineering and neuroscience. Excellent analytical, computer programming and communications skills are essential. Funding This project is funded by a European Research Council (ERC) Consolidator Grant. Studentships cover tuition fees for EU applicants and a tax free stipend of €18,000 per year. An annual allowance is provided for research consumables and for conference attendance. How to Apply Please send a cover letter describing your experience and interest in this project (1 page max), CV, and academic transcripts to Prof. Madeleine Lowery UCD School of Electrical & Electronic Engineering University College Dublin Belfield, Dublin 4 Ireland E-mail: neuromuscular(a)ucd.ie <mailto:neuromuscular@ucd.ie> Tel. +353 (1) 716 1911 ____________________________________ Dr Olga M Grant Research Project Manager School of Electrical & Electronic Engineering Tel +353 (1) 7161778

April 11, 2016

CORRECTION: Job opportunity for Image Analysis Scientist at Salk

by Uri Manor

The previous version of this announcement listed the job number as F142. The correct number is F143. I apologize for the inconvenience. WAITT ADVANCED BIOPHOTONICS CORE Job Opportunity – Image Analysis Scientist The Waitt Advanced Biophotonics Center has been established at the Salk Institute for Biological Studies as a state-of-the-art research hub to provide advanced and emerging imaging modalities to enable unprecedented insights into the inner workings of cells, tissues and organisms. We are seeking a highly motivated and experienced candidate in the field of computational image analysis to serve as an Image Analysis Scientist for the Biophotonics Core Facility. The Image Analysis Scientist will have a principal responsibility to collaborate with the other light and electron microscopy researchers in the Biophotonics Core and the Salk Institute to provide specific expertise for developing custom computer algorithms for complex and novel analyses of raw imaging data, computer data management and developing algorithms for microscopy operations. The Image Analysis Scientist will also develop and publish novel imaging and image analysis techniques in collaboration with the Core Director and Salk faculty. The Image Analysis Scientist will apply existing image processing software to 2D and 3D images and videos, and will also integrate data across different platforms (e.g. correlative EM). Finally, under the supervision and training of the Core Director, the Image Analysis Scientist will become familiar with the microscopes used in the facility, and develop expertise in using the equipment to acquire imaging data optimized for image analysis. Along with the Core Director, the Image Analysis Scientist will train Salk scientists on how to properly acquire high quality quantitative microscopy image data. This is a multi-faceted job that involves the following components: • Image Processing & Data Analysis - With the support of the Core Director, the incumbent will participate in the collaborative development of custom image data analysis and algorithm solutions. • Research Design & Participation - aiding Director and independently assisting users in design of imaging experiments. Educate facility users in the use of facility instrumentation and methods used therein for optimal acquisition of imaging data. • Data Collection & Presentation - collecting and managing data and helping to prepare data for publication & presentation. • User Training - guide and assist Salk researchers in the use of existing image acquisition and processing software. To Apply: http://www.salk.edu/about/careers/ (Job # F143) Uri Manor, Ph.D. DIRECTOR WAITT ADVANCED BIOPHOTONICS CORE PH (858) 453-4100 x2119 M (314) 406-7618 E umanor(a)salk.edu<mailto:tberggren@salk.edu> W http://bpho.salk.edu<mailto:tberggren@salk.edu> [cid:E4C48475-653C-4000-9B8C-437F759B2644@salk.edu] Salk Institute for Biological Studies 10010 N Torrey Pines Rd • La Jolla, CA 92037 WWW.SALK.EDU<http://www.salk.edu>

April 11, 2016

Fully funded PhD position at BioCruces Health Research Institute, Bilbao, Spain

by Asier Erramuzpe Osakidetza

BioCruces Health Research Institute (Bilbao, Spain) is looking for a PhD student who is a graduate in engineering and has completed a master, in its first year of doctorate or going into it this year. The pre-doc will work on an ongoing project since 2015, Neuroimaging in Parkinson's disease, funded by the ISCIII and the Michael J. Fox Foundation. The candidate will work primarily with MR imaging and to a lesser extent retinal images and analysis of cardiovascular signals. The PI of the project would be Juan Carlos Gómez-Esteban, neurologist, Head of group of Neurodegenerative Diseases in BioCruces and Movement Disorders and Parkinson Surgery in the Hospital of Cruces in collaboration with Dr. Iñigo Gabilondo. The website of the group: http://www.biocruces.com/bc5.01 Candidates should have a technical degree and knowledge of at least one programming language (python, matlab or R) and desirably knowledge of the packages SPM, FSL and Freesurfer. The contract will be up to 4 years (2 years extendable to 4 depending on the financing of the project), with a gross salary of € 20,600 per year. Social security contributions and other recruitment costs paid by BioCruces. Application dates are from April 12 to May 11. Candidates are invited to send a motivation letter and the names of one referee to Dr. Gabilondo by mail: igabilon(a)gmail.com Regards

April 11, 2016

EEG Data Scientist Position at Stanford in Brain Network Connectivity Research

by Wei Wu

The Laboratory of Amit Etkin, MD PhD at Stanford University is currently accepting applications for a Data Scientist position focused on sophisticated analyses of electroencephalography (EEG) data. The focus of this position is on understanding brain network function, relating EEG to functional magnetic resonance imaging (fMRI), and application of network analysis tools (e.g. graph theory, network-based statistics, etc). A particular emphasis will be on extending findings in the lab developed using fMRI connectivity analyses to EEG, which can be leveraged as an assessment tool in clinical psychiatric populations. Machine learning methods will also be employed to determine optimal EEG signals. The successful applicant will have an MS or PhD in Engineering, Statistics, Computer Science, Neuroscience, Neurophysiology, Psychology, or related fields. Experience with analysis of EEG data is required. Additionally, a strong programming background is important. Duties will also include manuscript preparation, presentation of findings at conferences, and contribution to the preparation of grants. Laboratory and Stanford resources include research-dedicated 3T and 7T MRI scanners, simultaneous EEG/fMRI, multiple high density EEG setups, and concurrent transcranial magnetic stimulation (TMS)/fMRI and concurrent TMS/EEG setups. Salary commensurate with experience. More information about our ongoing studies can be found at: http://etkinlab.stanford.edu<http://etkinlab.stanford.edu/>. [http://etkinlab.stanford.edu/images/thumb-home1.jpg]<http://etkinlab.stanford.edu/> Etkin Lab - Stanford University School of Medicine<http://etkinlab.stanford.edu/> etkinlab.stanford.edu The Etkin Lab strives to understand the neural basis of emotional disorders and their treatment, and to leverage this knowledge to develop novel treatment interventions. To apply, please send a curriculum vitae, a statement describing research interests and relevant background and three letters of recommendations, as well as relevant reprints/preprints of research articles to: Amit Etkin, MD, PhD Department of Psychiatry and Behavioral Sciences Stanford Neurosciences Institute Stanford University amitetkin(a)stanford.edu

April 10, 2016