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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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