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PhD position at LMU Munich, Germany
by Stefan Glasauer March 16, 2016

March 16, 2016

We are looking for a PhD student with a strong interest in human movement sciences and motor learning. How is sensorimotor adaptation acquired and forgotten? Scientific background: Human movement control is highly efficient at minimizing sensorimotor errors and is forced to adjust its strategies to slow changes of a large variety of factors. The motor system is subject to growth, aging, or muscle weakness; the external mechanical environment may change its resistance against the movement; and the sensory system, providing the most important information to estimate the actual and desired state of the ensemble of body and environment, is also subject to systematic changes. Sensorimotor adaptation is often defined as the gradual change of the generated motor commands in response to such systematic changes, but it has been recently recognized that sensorimotor adaptation does not only involve the acquisition of gradual changes in stimulus-response mechanisms, but also different types of meta-learning reflected in 1) gradual changes in the processing of sensorimotor errors driving the adaptation (error sensitivity) and in 2) adjustments of the stability (retention) of the acquired adaptive change. Current project and methods: The current project will investigate dynamics of error sensitivity and retention across repeated sequences of sensorimotor adaptation and deadaptation. Of special interest is the dependence of error sensitivity and retention on error size and consistency. Adaptation experiments will be performed in reaching movements under distorted visual feedback of the hand and in saccadic eye movements to targets displaced during the movement. The data acquisition and analysis is centered on movement trajectories recorded in humans. Candidates should have a strong interest in motor control and learning mechanisms. Skills in mathematical analysis of dynamic systems and computer programming are desirable. The project involves cooperation with laboratories in Toronto (CA) and Seattle (USA). Contact: Dr. Ing. Thomas Eggert e-mail: eggert at lrz.uni-muenchen.de Department of Neurology, Ludwig-Maximilians University Munich, Germany Literature: Straube, A., Deubel, H., Ditterich, J., & Eggert, T. (2001). Cerebellar lesions impair rapid saccade amplitude adaptation. Neurology, 57 (11), 2105-2108. Krüger M, Borbely B, Eggert T, Straube A (2012) Synergistic control of joint angle variability: influence of target shape. Hum Mov Sci 31:1071-1089 doi: 10.1016/j.humov.2011.12.002 Borbély BJ, Straube A, Eggert T (2014) Motor synergies during manual tracking differ between familiar and unfamiliar trajectories. Experimental Brain Research 232:889-901 Henriques, D.Y., Filippopulos, F., Straube, A., & Eggert, T. (2014). The cerebellum is not necessary for visually driven recalibration of hand proprioception. Neuropsychologia, 64C, 195-204.

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Computational Neuroscience and Cognitive Robotics MSc
by Dietmar Heinke March 16, 2016

March 16, 2016

We invite applications for our MSc program in Computational Neuroscience and Cognitive Robotics at the University of Birmingham, United Kingdom. The CNCR MSc course is highly interdisciplinary encompassing psychology, cognitive science, neuroscience, computational modelling, neuroimaging, robotics, and patient rehabilitation. The course is designed for those who are interested in applying knowledge of neural systems, brain function, and modelling to research in human cognition, perception, sensory and motor systems as well as the design of bio-inspired and biologically plausible robotic systems. It has a strong research focus with hands-on modules and practical applications. The course is aimed both at students from psychology/neuroscience with a strong quantitative background and at students from computer science and physics who want to apply their knowledge to psychology/neuroscience. The course is organised jointly through the Schools of Psychology and Computer Science. Details about the MSc can be found on this web-page: http://www.birmingham.ac.uk/postgraduate/courses/taught/psych/computation-n… Further enquires can be made via email: pg-psychology-admissions(a)contacts.bham.ac.uk<mailto:pg-psychology-admissions@contacts.bham.ac.uk> Application deadline: 30.June. Applications made after this deadline may be considered.

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3 PhD studentships in London
by Alonso, Eduardo March 16, 2016

March 16, 2016

Dear all, City University London is offering 3 fully-funded PhD studentships. Doctoral studentships will provide, for 3 years, an annual bursary of £16,000. They also include full tuition fees. The main focus is the development of computational models of learning and behaviour, with a particular interest in the application of Deep Learning architectures and algorithms. In addition, we want to explore how the resulting models could inform research in learning impairments associated with neurodevelopment disorders. Submission deadline is the 26th of May, with successful applicants starting in Oct 2016. If you are interested, please contact me. Dr Eduardo Alonso Reader in Computing Deputy Head of Department Department of Computer Science School of Mathematics, Computer Science and Engineering City University London London EC1V 0HB United Kingdom T: +44 (0)20 7040 4049 E: E.Alonso(a)city.ac.uk http://www.city.ac.uk/people/academics/eduardo-alonso

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A funding opportunity for Assistive Technology for ALS patients
by Neta Zach March 15, 2016

March 15, 2016

The ALS Association and Prize4Life's are happy to anounce the launch of a new program to promote ALS technology development- *the ALS Assistive Technology Challenge* <http://www.alsa.org/research/als-assistive-technology-challenge-2.html>*- *a program focused around accelerating the development of communication technologies for locked in patients with development funds of over $500,000. *In the challenge, open until July 29, teams can participate in a $400,000 challenge to develop a prototype that will enable communication for ALS patients. The top finalists will be invited to present their prototype in December 2016 in Dublin where the award winner will be selected. *You can read about it more *here <http://www.prnewswire.com/news-releases/the-als-association-and-prize4life-…>.*

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Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul
by Mujdat Cetin March 15, 2016

March 15, 2016

*Faculty Position in Neural Data and Imaging Sciences at Sabancı University* http://ee.sabanciuniv.edu/en/full-time-faculty-position-neural-data-and-ima… The Faculty of Engineering and Natural Sciences (FENS) at Sabancı University, İstanbul, Turkey invites applications for a full-time faculty position in the area of Neural Data and Imaging Sciences with a targeted start date of Fall 2016. The ideal candidate for this position would have a Ph.D. degree in electrical engineering, computer science, biomedical engineering, computational neuroscience, or a related field, as well as a strong research and publication record in the area of information extraction from challenging neural data. Particular research areas of interest include but are not limited to neuroinformatics, big neural sensor data analytics, biomedical imaging, brain informatics, signal processing of neural activity, computational neuroimaging, neural image analysis, machine learning for understanding the brain, and connectomics. Sensing/imaging modalities of interest include but are not necessarily limited to MRI, fMRI, DTI, PET, EEG, MEG, ECoG, and several forms of microscopy. Application areas of interest include, but are not limited to healthcare, neurotechnology, brain-computer interfaces, neurorehabilitation, and neurorobotics. The faculty member will have a primary affiliation with the Electronics Engineering program but will be expected to conduct collaborative research with other programs in FENS as well. Applications from candidates at all ranks are encouraged. For candidates at the Assistant Professor level, post-doctoral research experience is a plus. Successful candidates are expected to develop externally-funded internationally-recognized research programs; teach undergraduate and graduate courses; advise and mentor graduate and undergraduate students; and undertake service responsibilities. Successful candidates will have the opportunity to benefit from the state-of-the-art infrastructure of the brand-new Nanotechnology Research and Application Center (SUNUM), as well as to be involved in the Professional Master’s Program in Data Analytics. Sabancı University, a privately funded premier academic institution, established in 1996 in its state-of-the-art campus located in suburban İstanbul. The university offers 13 undergraduate programs and 38 graduate programs in three faculties (Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, School of Management). The University aims to establish a high standard of academic excellence and a research-oriented atmosphere for its international faculty and students, while nurturing productive relationships particularly with the industries in the region which constitute the industrial heartland of Turkey. The medium of instruction is English. In 2015, Sabancı University ranked 13th globally in the Times Higher Education (THE) ranking of the top 100 universities under 50 years old, and 21st in the THE Asia university rankings. In the recently announced THE ranking of the world’s best small universities in 2016, Sabancı University ranked 10th globally. It ranked first among all universities in Turkey in the University Entrepreneurship and Innovation Index of the Ministry of Science, Industry, and Technology in 2015. Detailed information about the Electronics Engineering Program at Sabancı University can be found at http://ee.sabanciuniv.edu/ Applicants should submit their applications online through https://crm.sabanciuniv.edu/acadcv/application.php and provide a cover letter, curriculum vitae, statement of research interests, statement of teaching interests, and at least three professional references. Review of applications will begin on May 1, 2016 and will continue until the position is filled. -- Mujdat Cetin Technical Program Co-chair, IVMSP 2016 -- http://ivmsp2016.org Technical Co-chair, FUSION 2016 -- http://fusion2016.org Faculty Member Faculty of Engineering and Natural Sciences Sabanci University Orhanli, Tuzla 34956, Istanbul, Turkey Phone : +90 (216) 483-9594 Fax : +90 (216) 483-9550 E-mail : mcetin(a)sabanciuniv.edu Web : http://spis.sabanciuniv.edu

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Fully funded postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London
by Alberto Paccanaro March 15, 2016

March 15, 2016

[Apologies for cross-posting] Application deadline: 10th April 2016 ==================================================== Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London. The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position. The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology. This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.uk/) This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months. The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance. The position is funded by a joint BBSRC/NSF grant. To apply go to: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0316-094 For an informal discussion about the post, please contact Prof Alberto Paccanaro, alberto(a)cs.rhul.ac.uk. The Human Resources Department can be contacted with queries by email at: recruitment(a)rhul.ac.uk. Please quote the reference: 0316-094. Closing Date: Midnight, 10th April 2016. Interview Date: To be confirmed. The College is committed to equality and diversity, and encourages applications from all sections of the community. -- ===================================== Prof. Alberto Paccanaro Department of Computer Science Royal Holloway, University of London Phone: +44 1784 414239 Homepage: http://www.cs.rhul.ac.uk/home/alberto/ Lab page: http://www.paccanarolab.org

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ICLR 2016 Registration Open
by Hugo Larochelle March 15, 2016

March 15, 2016

4th International Conference on Learning Representations (ICLR 2016) Website: http://www.iclr.cc/ Location: Caribe Hilton, San Juan, Puerto Rico, May 2-4, 2016 Registration to ICLR 2016 is now open: http://www.iclr.cc/doku.php?id=iclr2016:registration The lower early registration fees and hotel rates are available until April 1st. For more information on ICLR 2016, please visit http://www.iclr.cc/doku.php?id=iclr2016:main. We look forward to seeing you in Puerto Rico! Yoshua Bengio, Université de Montreal, General Chair Yann LeCun, New York University and Facebook, General Chair Hugo Larochelle, Twitter and Université de Sherbrooke, Senior Program Chair Brian Kingsbury, IBM Watson Group, Program Chair Samy Bengio, Google, Program Chair

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Funded vision science PhD opportunities at Royal Holloway, University of London
by Durant, Szonya March 15, 2016

March 15, 2016

Please see opportunities below to work with me (Szonya Durant) as supervisor and Angelika Lingnau or Jonas Larsson in the Department of Psychology at Royal Holloway, University of London. There are two main proposed areas: Investigating the neural representation of action recognition categories What are the neural sources and function of expectation signals in human visual processing? Both projects involve EEG and fMRI methods, but experience is not essential and training will be provided as part of the PhD. Please email szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk> for more detail on these projects and the application process. Strong students from Psychology/Neuroscience/Cognitive Science/Computer Science/Biological Science/Physics/Mathematics are encouraged to apply. Suitable candidates (in collaboration with the supervisor) will need to develop a PhD proposal, which the department will use to evaluate applications - the department deadline for proposals is the 15th of April (so please get in touch asap). There are 4 paid studentships available in the department for UK and EU students. ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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A new julia package for modelling spiking neural network
by Yao Lu March 15, 2016

March 15, 2016

SpikingNetworks.jl <https://github.com/YaoLuCNS/SpikingNetworks.jl> is a julia package for computational neuroscientists to simulate large scale spiking neural network. It is inspired by Brain2 <http://briansimulator.org/>, and achieve most of the functionalities in Brian2 with faster speed, cleaner syntax and flexibility. Julia <http://julialang.org/> is a technical computing language, which relies on LLVM to achieve efficiency comparable to C. Julia has MATLAB-like syntax and is user-friendly to MATLAB users. This this package aims at experienced computational neuroscientists who want faster speed. Yao Lu

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PhD studentships at Keele University - Closing Date: 15 April 2016
by Peter Andras March 14, 2016

March 14, 2016

*Fully Funded Computer Science PhD Studentships at Keele University* The Faculty of Natural Sciences at Keele University is pleased to announce up to 7 fully-funded PhD studentships for UK/EU students for start in September/October 2016, as well as opportunities for part-funded PhD studentships for suitable candidates. Applications are invited from high quality prospective doctoral candidates in Computer Science and other disciplines. We welcome candidates with a good fit to our research specialisms and the expertise of our academic staff. Candidates are expected to have a 1st class or 2.1 class undergraduate degree or a Distinction level MSc degree in a relevant subject (or equivalent in the case of candidates from other EU countries). One of our focus areas in Computer Science is *Computational Neuroscience and Biomedical Engineering*. A selection of topics of interests in this area is provided below. *Computational Neuroscience and Biomedical Engineering*: computational modelling of the stomatogastric nervous system; bio-inspired robot control; computational modelling of cognitive behaviour in bees; neuro-control of evolving artificial creatures; neuro-control of robotic swarms; computational analysis of neuroimaging and multi-electrode array data; human and animal behaviour analysis using accelerometer data; virtual reality and robotics for rehabilitation engineering; analysis and modelling of the impact of neuromodulators in biological neural systems; big data analytics and neuro-degenerative disorders. *Funding* Each fully-funded studentship includes an annual tax-free stipend at RCUK rate plus tuition fees (currently £14,296 for stipend and £4,121 for fees). The funding is available for 3 years. Each studentship has an associated research expense budget (£2,000 – £3,000 per year, depending on the nature of the project, to cover project related consumables and conference travel). Opportunities are also available for candidates from the UK/EU and overseas who can demonstrate that they can fully or partially self-fund. If you are interested in this route, please contact Professor Peter Andras at p.andras(a)keele.ac.uk for a discussion. *Closing Date* The *closing date* for applications is Friday *15 April 2016* Full details and application procedures can be found on the website: http://www.keele.ac.uk/pgresearch/howtoapply/ For the purpose of research proposal applicants should submit an outline of their research interests or of a particular research project that the applicant would like to work on (max. 2 pages). Please send any questions by email to Lisa Cartlidge ( l.j.cartlidge(a)keele.ac.uk) or Ann Billington (a.billington(a)keele.ac.uk)

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Postdoctoral Position in Computational Neuroscience/Biophysical Modeling
by Gabbiani, Fabrizio March 14, 2016

March 14, 2016

Postdoctoral Position in Computational Neuroscience/Biophysical Modeling Computational and Applied Mathematics Rice University and Department of Neuroscience Baylor College of Medicine Houston, Texas ----- A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine). Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral research associate will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry. We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until April 15, 2016. Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit http://www.explore.rice.edu/explore/General_Information.asp or https://www.bcm.edu/about-us/life-in-houston For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to cox(a)rice.edu and gabbiani(a)bcm.edu. Equal Opportunity Employer: Females / Minorities / Veterans/ Disabled / Sexual Orientation / Gender Identity.

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Eleventh Advanced Statistics and Data Mining Summer School (Madrid, June 27th - July 8th, 2016)
by asdm＠fi.upm.es March 14, 2016

March 14, 2016

Dear colleagues, The Technical University of Madrid (UPM) will once more organize the 'Madrid UPM Advanced Statistics and Data Mining' summer school. The summer school will be held in Boadilla del Monte, near Madrid, from June 27th to July 8th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Early registration is now *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 27th - July 1st, 2016) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Descriptive methods for time series. Linear models for time series. Extensions. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 4th - July 8th, 2016) * 1st session: 9:45-12:45 Course 7: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Introduction. Language Modeling. Text Similarity. Text Classification. Information Extraction. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Advanced topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Convex non differentiable optimization. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK.

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Reminder: Deadline is tomorrow (March 15) for Fellowships for IBBM Course in Park City, Utah
by Rob MacLeod March 14, 2016

March 14, 2016

Dear Colleagues, Just a quick reminder that tomorrow is the deadline for all submissions for fellowships to the Image Based Biomedical Modeling (IBBM) Summer Course in July, 2016. We encourage you to forward this email to your group and your community. If you have any question please let me know. Fellowship Application Deadline : March 15, 2016 Early Bird Registration Deadline: May 15, 2016 Registration Deadline: June 10, 2016 We look forward to welcoming you to Utah this summer. Best, The IBBM Team Park City Summer Course in Image Based Biomedical Modeling July 11-21, 2016 Newpark Resort in Park City, Utah ibbm.sci.utah.edu <http://ibbm.sci.utah.edu/> Contact: ibbm(a)sci.utah.edu <mailto:ibbm@sci.utah.edu> For Graduate Students, Postdocs, Faculty, and Industry. We invite students underrepresented in health-related sciences to apply. This course creates field-specific expertise and hands-on experience in bioelectric or biomechanical problems that arise in current biomedical research and clinical practice. It provides training in numerical methods, image analysis, and computational tools necessary to carry out end-to-end, image-based, subject-specific simulations in bioelectricity or biomechanics, using freely available software. Organizers: Rob Macleod, Jeff Weiss, and Ross Whitaker Supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS)

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CIBB2016 - Computational Intelligence methods for Bioinformatics and Biostatistics
by Andrea Bracciali March 14, 2016

March 14, 2016

[Apologies for cross-postings] ======================================================================= CALL FOR PAPERS and SPECIAL SESSIONS ======================================================================= ======================================================================= CIBB 2016 13th International Meeting on Computational Intelligence methods for Bioinformatics and Biostatistics University of Stirling, Stirling, Scotland UK September 1-3 2016 http://www.cs.stir.ac.uk/events/cibb2016/ cibb2016(a)gmail.com ======================================================================= Scope The main goal of this 13th edition of the CIBB international conference is to provide a multi-disciplinary forum open to researchers interested in the application of computational intelligence, in a broad sense, to open problems in bioinformatics, biostatistics, systems and synthetic biology and medical informatics. Cutting edge methodologies capable of accelerating life science discoveries will be discussed. Following its tradition and roots, this year's meeting will bring together researchers from the international scientific community interested in advancements and future perspectives in bioinformatics and biostatistics. Also, looking at current trends and future opportunities at the edge of computer and life sciences, the application of computational intelligence to system and synthetic biology, and the consequent impact on innovative medicine will be of great for the conference. Theoretical and experimental biologists are also invited to participate in order to present novel challenges and foster multidisciplinary collaboration. The scientific program of CIBB 2016 will include Keynote Speakers, tutorials and special sessions. Contributed papers will be presented in plenary oral sessions, special sessions, or poster sessions. Topics of interest include, but are not restricted to: · Next generation sequencing bioalgorithms · Multi-omics data analysis · High dimensional statistical analysis of omics data · Algorithms for alternative splicing analysis · Algorithms for molecular evolution and phylogenetic analysis · Methods for the visualization of high dimensional complex omic data · Software tools for bioinformatics · Methods for comparative genomics · Methods for functional classification of genes · Methods for unsupervised analysis, validation and visualization of structures discovered in bio-molecular data · Health-Informatics and Medical Informatics. · Methods for the integration of clinical and genetic data · Heterogeneous data integration and data fusion for diagnostics · Algorithms for pharmacogenomics · Biomedical text mining and imaging · Methods for diagnosis and prognosis within personalized medicine · Statistical methods for the analysis of clinical data · Prediction of secondary and tertiary protein structures · Mass spectrometry data analysis in proteomics · Algorithms for molecular evolution and phylogenetic analysis · Bio-molecular databases and data mining · Mathematical modeling and automated reasoning on biological and synthetic systems · Computational simulation of biological systems · Methods and advances in systems biology · Spatio-temporal analysis of synthetic and biological systems · Network systems biology · Models for cell populations and tissues · Methods for the engineering of synthetic components · Modelling and engineering of interacting synthetic and biological systems · Software tools for bioinformatics, biostatistics, systems and synthetic biology Publication Accepted papers will be presented at the conference (at least one author is expected to register), and will be published on proceedings for conference distribution. Extended and revised versions of the papers presented at CIBB 2016 will be invited for a post-conference monograph. This is traditionally published in the Springer series of Lecture Notes in Bioinformatics (LNBI), (arrangements undergoing). Continuing the tradition of CIBB, we are planning to publish best papers in one (or more, as appropriate) special issue of an international scientific journal (such as BMC Bioinformatics, in the latest editions). Paper Submission Papers must be prepared following the guidelines illustrated on the CIBB web site and should be long between 4 and 6 pages. Papers should be submitted in PDF format on the Easy Chair conference system (link available on the web site). Tutorials and Special Sessions CIBB 2016 will run a number of Tutorials and Special Sessions. Any topic of interest for the conference is eligible for a tutorial. Tutorials typically last from one to three hours. Special sessions focus on a specific, possibly cutting-edge, topic of interest for CIBB 2016. Special session organisers will be responsible for call dissemination, reviewing process and organizing oral presentations. Typically, a special session will have at least 4 accepted papers and may have an invited speaker (to be negotiated). Tutorial proposals including title, one page long abstract, and short CV of presenters, are due by 15th March 2014. Please send proposals to cibb2016(a)gmail.com. Special Session proposals including the session's title and scope, short CV of sessions chairs, preliminary list of at least 4 potential authors are due by 15th March 2014. Proposals of special sessions will be evaluated as soon as they are submitted. A special session must have at least 4 accepted papers. Please send proposals to cibb2016(a)gmail.com Important Dates Tutorial and Special Session proposal: 25th March 2016 Paper submission deadline: 15th May 2016 Notification of acceptance: 22nd June 2016 Final paper due: 8th July 2016 Conference: 1st -3rd September 2016 General Chairs Andrea Bracciali, University of Stirling, UK David Gilbert, Brunel University London, UK Gilbert MacKenzie, UL, ENSAI and Keele, UK Biostatistics Technical Chair Marco Bonetti, Università Bocconi, Italy Bioinformatics Technical Chair Ivan Merelli, ITB-CNR, Italy Local Organizing Committee Chairs Leslie Smith, University of Stirling, UK Giulio Caravagna, Edinburgh University, UK Publicity Chair Francesco Masulli, University of Genoa, Italy Special Session and Tutorial Chair Claudia Angelini, IAC-CNR, Italy Publication Chair Riccardo Rizzo, ICAR-CNR, Italy Steering Commitee Pierre Baldi, University of California, Irvine, CA, USA Elia Biganzoli, University of Milan, Italy Clelia Di Serio, Vita-Salute San Raffaele University, Italy Alexandru Floares, Oncological Institute Cluj-Napoca, Romania Jon Garibaldi, University of Nottingham, United Kingdom Nikola Kasabov, Auckland University of Technology, New Zealand Francesco Masulli, University of Genova, Italy and Temple University, PA, USA Leif Peterson, TMHRI, Houston, Texas, USA Roberto Tagliaferri, University of Salerno, Italy

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PhD student position available at Newcastle University
by Roman Bauer March 14, 2016

March 14, 2016

Dear all, I invite applications for a fully-funded three-year PhD student position at the Institute of Neuroscience at Newcastle University, Newcastle upon Tyne (UK). The successful candidate will work under the supervision of Dr Roman Bauer and Dr Evelyne Sernagor, and do computational modeling as well as wet-lab work on neuronal development in the retina. There is also the possibility for the student to be involved in a collaborative project with CERN openlab and Intel as a project partner. Applicants should be highly motivated and should have a strong background in physics, computer science, neuroscience or a related disciplince. Good computational skills and experience in a major programing language such as C++ or Java are required. The Institute of Neuroscience (IoN) is a well-established research institute integrating over 75 principal investigators, and was ranked in UK top 10 for overall quality of research. The university's Faculty of Medical Sciences, of which IoN is part of, is ranked in the top 50 worldwide for biomedical and health sciences in the Leiden Ranking. More details on this job posting can be found here: http://www.ncl.ac.uk/postgraduate/funding/sources/allstudents/12mrea.html Best regards, Roman Bauer

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PostDoc position: developing computational models of optogenetic stimulation in epilepsy patients
by Marcus Kaiser March 13, 2016

March 13, 2016

Dear all, a 3-year PostDoc position for developing computational models of optogenetic stimulation in epilepsy patients is available within my lab as part of the CANDO project at Newcastle University. *** About CANDO *** CANDO (Controlling Abnormal Network Dynamics using Optogenetics, http://www.cando.ac.uk/) is a world-class, multi-site, cross-disciplinary project to develop a cortical implant for optogenetic neural control. The goal is to create a first-in-human trial in patients with focal epilepsy. This seven year, £10M Innovative Engineering for Health Award, funded by the Wellcome Trust <http://www.wellcome.ac.uk/> and the Engineering and Physical Sciences Research Council (EPSRC) <http://www.epsrc.ac.uk/> involves a team of over 30 neuroscientists, engineers and clinicians based at Newcastle University <http://www.ncl.ac.uk/ion/>, Imperial College London <http://www3.imperial.ac.uk/electricalengineering>, University College London <https://www.ucl.ac.uk/medphys> and The Newcastle Hospitals NHS Foundation Trust <http://www.newcastle-hospitals.org.uk/>. *** Available RA position *** As part of this project, the lab of Prof. Marcus Kaiser ( http://www.dynamic-connectome.org/ ) is seeking a talented and enthusiastic research fellow with a PhD awarded, or a PhD thesis about to be submitted, in computational biology or related subjects. Objectives of this position are, first, to develop a detailed simulation of human brain activity at the local and global level of epilepsy patients. Second, the effect of stimulation on ongoing activity will be studied. Third, dynamical systems theory and extensive simulations will be used to find optimal stimulation approaches that can reach desired oscillation patterns with minimal stimulation. Simulations will be informed by invasive recordings and non-invasive brain connectivity measurements in human epilepsy patients. Good communication skills, very strong dynamics modelling skills, and a track record of previous peer-reviewed journal publications. You will have experience with modelling brain rhythms and dynamical systems. The position will include brief visits to our partners in the UK and abroad. *** Research Environment *** Neuroinformatics at Newcastle University in the UK covers a range of topics from electrophysiology to neuroimaging. We are among the pioneers in connectome analysis and the establishment of large-scale neuroscience data management and analysis platforms, e.g. through the £4m EPSRC-funded CARMEN project. Our strength is a close collaboration between computational, experimental, and clinical researchers. We currently have a team of 12 faculty members in the areas of Neuroinformatics and Neurotechnology which is growing to 15 members by the end of this year: http://neuroinformatics.ncl.ac.uk/ *** How to Apply *** To apply, follow the information at http://www.jobs.ac.uk/job/AUD320/research-assistant-associate-computational… The deadline is Thursday 7 April. For further information, contact Prof. Marcus Kaiser, Marcus.Kaiser(a)ncl.ac.uk Best, Marcus -- Marcus Kaiser, Ph.D. @ConnectomeLab <https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk/ -- Best, Marcus -- Marcus Kaiser, Ph.D. @ConnectomeLab <https://twitter.com/ConnectomeLab> Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Science Newcastle University Claremont Tower Newcastle upon Tyne NE1 7RU, UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics@Newcastle: http://neuroinformatics.ncl.ac.uk

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An Invitation and CfP for International Conference on Artificial Intelligence 2016 in Poland
by Grace Allas March 13, 2016

March 13, 2016

CALL FOR PAPERS *** *All registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore* AIPR2016 - The Third International Conference on Artificial Intelligence and Pattern Recognition Lodz University of Technology, Lodz, Poland September 19-21, 2016 http://sdiwc.net/conferences/aipr2016/ --------------------------------------------------- RESEARCH TOPICS ARE NOT LIMITED TO: • Agent-based Systems • AI and Evolutionary Algorithms • Ant Colony Optimization • Approximate Reasoning • Artificial Immune Systems • Artificial Intelligence in Modeling and Simulation • Artificial Intelligence in Scheduling and Optimization • Artificial Life • Automated Problem Solving • Bioinformatics and Computational Biology • Biometric Authentication • Brain-machine Interfaces • Camera Networks and Vision • Case Studies • Cognitive Systems and Applications • Collective Intelligence • Computer Vision • Data Mining • Decision Support Systems • Differential Evolution • Distributed AI Systems and Architectures • Emerging Technologies • Evolutionary Data Mining • Evolutionary Design • Evolutionary Scheduling • Expert Systems • Fuzzy Computing with Words • Fuzzy Control and Intelligent Systems • Fuzzy Decision Making and Decision Support Systems • Fuzzy Logic and Fuzzy Set Theory • Fuzzy Optimization and design • Fuzzy Pattern Recognition • Fuzzy Systems for Robotics • Game Theory • Hardware Implementations • Heuristic Searching Methods • Integration of AI With Other Technologies • Intelligent Agents • Intelligent Data Mining and Farming • Intelligent Databases • Intelligent Information Systems • Intelligent Networks • Intelligent Tutoring Systems • Intelligent User Interface • Intelligent Web-based Business • Knowledge Engineering • Knowledge Networks and Management • Knowledge-based Recognition • Knowledge-intensive Problem Solving Techniques • Machine Learning • Modeling and Identification • Molecular and Quantum Computing • Motion and Tracking Algorithms and Orientation Estimation • Multi-agent Systems • Multimedia Systems and Applications • Natural Language Processing • Neural Network Theory, Architectures and Applications • Novel Noise Reduction Algorithms • Particle Swarm Optimization • Printing Technologies • Robotics and Related Fields • Rough Sets and Rough Data Analysis • Segmentation Techniques • Signal and Speech Processing • Social Impact of AI • Software Tools for AI • Speech Understanding • Structural and Syntactic Pattern Recognition • Supervised and Unsupervised Learning • Type-2 Fuzzy Logic • Various Applications • Watermarking Methods and Protection • Web Intelligence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ IMPORTANT DATES Submission Deadline : Open from now until August 19, 2016 Notification of Acceptance : 4-7 weeks from the submission date Camera Ready Submission : Open from now until September 09, 2016 Registration Deadline : Open from now until September 09, 2016 All the registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Paper Submission: http://sdiwc.net/conferences/aipr2016/openconf/openconf.php Write us for more details: aipr16(a)diwc.net NOTE: Please see other co-conferences: - The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET2016) http://sdiwc.net/conferences/csceet2016/ - The International Conference Numerical Methods and Applied Mathematics (NMAM2016) http://sdiwc.net/conferences/nmam2016/ ---------------------------------------

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Ph.D. and PostDoctoral positions on Secure and Fault-Tolerant Implants (2nd call)
by C. Strydis March 13, 2016

March 13, 2016

** Apologies if you receive multiple copies ** Dear colleagues, This is the 2nd call for new job postings in the field of secure and fault-tolerant implants: Our Neural Computing & Implants Lab (www.erasmusbrainproject.nl) of the Neuroscience Department of the Erasmus Medical Center, the Netherlands, is conducting research on next-generation implantable medical devices (IMDs). IMDs are resource-constrained embedded systems with unique functional and quality requirements. The overall objective of the research performed is to deliver techniques at the implant architecture, compiler, system and communication level for achieving by-design IMD security, privacy and fault tolerance. The selected candidates are expected to work on one or more of these intertwining subjects. This research will be part of the SHARCS Horizon 2020 EU-funded project (www.sharcs-project.eu) Collaborative partners are the Delft University of Technology, the Chalmers University of Technology and the National Technical University of Athens. The research group has a solid track record in contributing to design principles of high-performance and low-power embedded computing systems. Erasmus MC is a partner in the HiPEAC European Network of Excellence and an official collaborator in the H2020 Flagship: Human Brain Project (HBP - www.humanbrainproject.eu) Where HBP works on fully simulating the cerebral cortex, Erasmus MC is adding in accurate simulations of the cerebellar cortex. For more details please check the posting here: https://www.hipeac.net/jobs/9013/one-phd-position-and-one-postdoctoral-posi… We would appreciate if you could further disseminate our postings. Kind regards, Christos Strydis -- ============================== Christos Strydis, Ph.D. Assistant Professor Neuroscience Department Erasmus Medical Center Wytemaweg 80 (12th floor) Office Ee1210a 3015 CN Rotterdam Tel: +31 - 10 - 70 - 43294 Fax: +31 - 10 - 70 - 44734 E-mail: C.Strydis(a)erasmusmc.nl Web: www.erasmusbrainproject.com/index.php/strydis ==============================

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Ph.D. and PostDoctoral positions on, High-Performance Brain Simulations (2nd call)
by C. Strydis March 13, 2016

March 13, 2016

** Apologies if you receive multiple copies ** Dear colleagues, This is the 2nd call for new job postings in the field of High-Performance Brain Simulations: Our Neural Computing & Implants Lab group (www.erasmusbrainproject.nl) of the Neuroscience Department of the Erasmus Medical Center, the Netherlands, is conducting research on high-performance, large-scale simulations of the human cerebellum. Depending on the neuronal-network size and the modeling accuracy desired, brain-model simulations can rapidly grow to be become exascale order-of-magnitude applications for HPC platforms. By capitalizing on the long-standing expertise and track record of the Neuroscience Department, the overall objective of the research performed is dual: to re-construct in hardware (''in silico'') the human cerebellar cortex and -- in the process -- to develop novel tools for the automatic, seamless and fast simulation of any brain-model ensembles on popular HPC platforms, such as FPGAs, NVidia GP-GPUs, Intel Xeon Phis and Maxeler Dataflow Engines. The selected candidates are expected to work on these topics. This research will be part of the VINEYARD Horizon 2020 EU-funded project (www.vineyard-h2020.eu) Erasmus MC is a partner in the HiPEAC European Network of Excellence and an official collaborator in the H2020 Flagship: Human Brain Project (HBP - www.humanbrainproject.eu) Where HBP works on fully simulating the cerebral cortex, Erasmus MC is adding in accurate simulations of the cerebellar cortex. Collaborative partners are the Delft University of Technology, the Chalmers University of Technology and the National Technical University of Athens. For more details please check the posting here: https://www.hipeac.net/jobs/9011/one-phd-position-and-one-postdoctoral-posi… We would appreciate if you could further disseminate our postings. Kind regards, Christos Strydis -- ============================== Christos Strydis, Ph.D. Assistant Professor Neuroscience Department Erasmus Medical Center Wytemaweg 80 (12th floor) Office Ee1210a 3015 CN Rotterdam Tel: +31 - 10 - 70 - 43294 Fax: +31 - 10 - 70 - 44734 E-mail: C.Strydis(a)erasmusmc.nl Web: www.erasmusbrainproject.com/index.php/strydis ==============================

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Research Experience for Undergraduates (REU), Summer 2016
by Alexey Kuznetsov March 11, 2016

March 11, 2016

The Department of Mathematical Sciences at Indiana University-Purdue University Indianapolis is currently recruiting students for a Research Experience for Undergraduates (REU) titled, "IUPUI REU Program in mathematics with applications to medical sciences, biophysics, and inverse problems." Eight undergraduate students will be accepted into the NSF-funded program for Summer 2016. Students may submit applications at the following website: math.iupui.edu/reu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN

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[visum2016] Summer School :: (last) Call for participation!
by Ricardo Sousa March 10, 2016

March 10, 2016

Call for Participation 4th VISion Understanding and Machine intelligence summer school Porto, Portugal 7-14 July, 2016 http://www.fe.up.pt/visum/ |Facebook: http://goo.gl/FbVNtq We invite everyone with interests in computer vision to attend the 4th *VISion Understanding and Machine intelligence summer school, *at ATMOSFERA M in Porto, Portugal. At visum you can find an expert multicultural environment, aiming to foster junior researchers’ awareness of computer vision topics, as well as to enhance all attendees’ knowledge regarding the state of the art, provided by leading international experts on the field. Being an area of great potential in industrial applications with a strong increase in the number of researchers in these last years, *visum* summer school will be an incredible opportunity. Important Dates Application March, 21 Notification of Acceptance March, 25 Early Registration April, 22 Late Registration May, 13 Scholarships *In partnership with APRP, we will provide a grant that covers the registration for an APRP member. Grant will be given according to the relevance of the applicant’s CV. Visum will comprise three main tracks 1. Fundamental subjects 2. Examples of computer vision applications 3. Industrial session Each one with extensive practical “hands-on” sessions *Topics* Biometrics Julian Fierrez Universidad Autónoma de Madrid ES Structure From Motion João Paulo Costeira Instituto Superior Técnico PT Document Image Analysis Alicia Fornes Universitat Autònoma de Barcelona ES Human Activity Hatice Gunes University of Cambridge UK Deep Learning Dan Ciresan Dalle Molle Institute for Artificial Intelligence CH Modelling and Simulation Mauricio Reyes University of Bern CH *Applications* To be announced Industry Track EyeSee Follow Inspiration Movvo Venue visum will take place at ATMOSFERA M, Rua Júlio Dinis, nº 158/160, Porto, Portugal. Location visum will take place in Porto, Portugal’s second-largest city, European Best Destination 2012 and Lonely Planet’s top 10 for 2013. Here, you can find famous baroque style monuments, the worldwide known Port Wine cellars, always having the World Heritage Douro River as the background of this youthful, active and charming city. visum’s program includes social activities. Please visit our webpage for up to date information: http://www.fe.up.pt/visum/. We are looking forward for your participation! *visum organising committee* Ana Rebelo, INESC TEC, Universidade do Porto Eduardo M. Pereira, INESC TEC, Faculdade de Engenharia da Universidade do Porto Hélder P. Oliveira, INESC TEC, Universidade do Porto Kelwin Fernandes, INESC TEC, Faculdade de Engenharia da Universidade do Porto Luís F. Teixeira, INESC TEC, Faculdade de Engenharia da Universidade do Porto Pedro Ferreira, INESC TEC, Faculdade de Engenharia da Universidade do Porto Tiago Esteves, INEB, Faculdade de Engenharia da Universidade do Porto *Follow us on:* Facebook: http://www.facebook.com/pages/visum/402527539813446 Google+: https://plus.google.com/104076275960053201744/posts Twitter: http://www.twitter.com/visumschool __ Ricardo Sousa, PhDhttp://rsousa.orghttps://www.linkedin.com/in/rsousa email: rsousa _at_ rsousa.org

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CoSMo 2016 - FREE participation!
by Gunnar Blohm March 10, 2016

March 10, 2016

It is our pleasure to announce that thanks to external funding from NIH and Brain Canada, *CoSMo 2016 attendance will be free of charge*! In addition, a limited number of travel scholarships will be available. *Application deadline: Apr 11, 2016* For more information and to apply, please go to <http://www.compneurosci.com/CoSMo/>http://www.compneurosci.com/CoSMo/ Scholarship information and the application form can be found here: http://www.compneurosci.com/CoSMo/application.html Best, Gunnar Blohm, Paul Schrater, and Konrad Körding -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen’s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm(a)QueensU.ca Web: http://www.compneurosci.com/

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v5.7 of NeuroMorpho.Org released on 30 May, 2014
by NeuroMorpho Administrator March 10, 2016

March 10, 2016

Version 5.7 of NeuroMorpho.Org was released on 30 May, 2014. The release included 29 new data sets (1341 reconstructions), including from three new animal species (dragonfly, moth, and sheep). The database now contains 11,335 reconstructions from 144 contributing labs. More than 3.2 million reconstructions were downloaded in over 130,000 unique visits from 146 countries. Please visit the What's new<http://neuromorpho.org/neuroMorpho/WIN.jsp> page for details on data included in this release, including new species strains, brain regions, cell types, and experimental conditions. The Acknowledgements <http://neuromorpho.org/neuroMorpho/acknowl.jsp> include details on contributing labs, and the About<http://neuromorpho.org/neuroMorpho/about.jsp> page provides an updated overview of the repository content. A new user-friendly functionality, OntoSearch<http://neuromorpho.org/neuroMorpho/OntoSearch.jsp>, was introduced in this release, enabling more powerful searches of species and strains with automated synonym translation, taxonomical relations, and keyword auto-completion. The literature coverage database was also updated to include publications through March 2014. We are continuously grateful to all the data owners who freely share their data with the community. We always appreciate any and all feedback and comments. Sincerely, The NeuroMorpho.Org team -- Ruchi Parekh, Ph.D. NeuroMorpho.Org Project Lead Postdoctoral Research Fellow Center for Neural Informatics, Structures, and Plasticity Krasnow Institute for Advanced Study MS2A1, George Mason University Fairfax, VA 22030 (USA) Ph - +1-703-993-4382<tel:%2B1-703-993-4382> www.neuromorpho.org<http://www.neuromorpho.org/> nmadmin(a)gmu.edu<mailto:nmadmin@gmu.edu>?

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summer internship at Siemens Healthcare (Princeton, NJ)
by Francisco Pereira March 10, 2016

March 10, 2016

Our team at Medical Imaging Technologies, Siemens Healthcare, in Princeton NJ, has a summer intern position, working in a project investigating the representation of semantic information in the brain and how it is used in language. Our goal is to build a computational model of the process of sentence comprehension in a text passage, using text corpora and other linguistic resources, and validate it using behavioral and brain imaging data. The main role of the intern will be to help in developing and implementing methods to extract information from text corpora, as well as models for emulating human performance on a variety of benchmark psychological tests. Examples of tasks you might be asked to do: - generate distributed semantic representations for words/concepts, sentences and passages - extract and combine structured information from text corpora or resources such as WordNet, FrameNet and various knowledge bases - prepare and process text corpora (parse, convert to other formats, etc) - implement evaluation tasks to benchmark the models developed It is an unusual position in that you would be doing machine learning tasks to further cognitive neuroscience goals, gaining experience in both areas. In addition to the core research, we will also be delivering a system to the funding agency; hence, this is a fast-paced project with multiple opportunities for publication. This work is being carried out in collaboration with researchers at MIT, MGH and Princeton University and funded by the IARPA Knowledge Representation in Neural Systems program ( http://www.iarpa.gov/index.php/research-programs/krns ). Requirements: - current student in a graduate program in Computer Science/Electrical Engineering/Machine Learning - experience developing software in MATLAB, Python or Perl - experience in Computational Linguistics and NLP tasks (e.g. using frameworks such as CoreNLP or NLTK) - availability for at least 3 months (a longer period is possible, and the timeline is flexible) If interested, please send your resume to francisco-pereira(a)siemens.com (your email can serve as a cover letter, if there is anything you would like to elaborate on). thank you! Francisco

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PhD position Mainz, Germany
by Matthias Kaschube March 10, 2016

March 10, 2016

On behalf of Simon Rumpel, University Mainz: 3yr Graduate studentship position Long-term dynamics of sound-evoked activity patterns in mouse auditory cortex University Medical Center, Johannes Gutenberg University, Mainz, Germany A graduate student position is available in the Systemic Neurophysiology Research Group at the University Medical Center of the Johannes-Gutenberg University Mainz, Germany. The research group of Simon Rumpel is interested in understanding neuronal mechanisms of auditory perception and memory. Combining behavioral training and chronic in vivo two-photon imaging techniques in mice, we have monitored the dynamics of individual synaptic connections (e.g. Moczulska et al., 2013, PNAS; Loewenstein et al., 2015, J. Neurosci.) and analyzed how sounds are encoded in neuronal populations in the neocortex (Bathellier et al., 2012, Neuron). We are looking for a highly motivated individual with a strong interest in learning a variety of experimental and theoretical approaches to solve complex biological problems. The focus of the project is on the establishment and application of chronic imaging of sound-evoked activity patterns in transgenic mouse lines at the mesoscopic scale. This involves in-depth training in physiology, imaging methodology and data analysis. This project is part of an ongoing collaboration with Matthias Kaschube’s computational neuroscience group at the FIAS in Frankfurt and is ideally suited for a person with a background in physics or a related discipline interested to move into the neurosciences. The starting date is September 2016 or later. The applicant should have a master’s degree or diploma at the time of admission, have excellent communication skills, and should be interested in working in a collaborative and international environment. In-depth knowledge in programming (e.g. Matlab) and hardware control is a requirement and previous experience in imaging or neuroscience would be beneficial. · We offer a highly interactive environment with state-of-the-art research facilities and equipment. · The student will be embedded in the Focus Program in Translational Neurosciences (FTN) of the Mainz Neuroscience community (http://www.ftn.uni-mainz.de/eng/index.php <http://www.ftn.uni-mainz.de/eng/index.php>). For further information, or to apply, please contact Prof. Simon Rumpel ( <mailto:sirumpel@uni-mainz.de>sirumpel(a)uni-mainz.de <mailto:sirumpel@uni-mainz.de>). Applications should include a motivation letter including research interests, the CV and email addresses of 1-2 referees. Application deadline is April 30th 2016 -- Prof. Dr. Simon Rumpel Working Group Systemic Neurophysiology Institute of Physiology Focus Program Translational Neurosciences (FTN) University Medical Center Johannes Gutenberg University Mainz Hanns-Dieter-Hüsch Weg 19 55128 Mainz, Germany Tel: +49 (0) 6131 39-27355 E-Mail: sirumpel(a)uni-mainz.de <mailto:sirumpel@uni-mainz.de>

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