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<p class="">Dear all,<br></p>
<p class="">our one-year master degree program in Computational Neuroscience and Neuroinformatics at Newcastle University is now accepting student applications. The course focuses on handling brain connectivity datasets, analyzing electrophysiological recordings, and simulating neural activity and development. Neuroinformatics is one of the strategic areas of neuroscience research within Newcastle University (see overview at <a href="http://neuroinformatics.ncl.ac.uk/"><span class="">http://neuroinformatics.ncl.ac.uk/</span></a> ).</p><p class=""><span class=""></span></p>
<p class=""><span class="">Close interactions with experimental and clinical researchers are a key component of the course and the dissertation research project. Ongoing research areas in Newcastle include neuroimaging, psychophysics, systems neuroscience (visual, auditory, and motor system), aging, neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips, and connectomics (<a href="http://www.ncl.ac.uk/ion"><span class="">http://www.ncl.ac.uk/ion</span></a> ). Newcastle University hosts around 100 principal investigators in the neurosciences.</span></p>
<p class=""><span class="">You can find out more about the program and how to apply at <a href="http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/"><span class="">http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/</span></a></span></p>
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<p class=""><span class=""><b>COURSE OUTLINE</b></span></p>
<p class="">The MSc in Computational Neuroscience and Neuroinformatics is a full-time, one-year advanced masters course designed for students who have a good degree in the biological sciences or the physical sciences (computer science, mathematics, physics, engineering). It provides the specialist skills in core Neuroinformatics courses (such as computing and biology) with a significant focus on the development of research skills. The program aims to equip its graduates with the necessary skills to contribute to biologically realistic simulations of neural activity and development that are rapidly becoming the key focus of Neuroinformatics research. Prior experience with computers or computer programming is not required. The program is ideal for students aiming for careers in industry or academia.</p>
<p class=""><span class="">The course is based in the School of Computing Science and taught jointly by the Schools of Computing Science, Mathematics and Statistics, Biology, Cell and Molecular Biosciences and The Institute of Human Genetics. In addition, there are strong links with the Institute of Neuroscience and graduates of this master program might either apply for PhD studies at the School of Computing Science or for the Wellcome Trust 4-year PhD program in Systems Neuroscience (<a href="http://www.ncl.ac.uk/ion/study/wellcome/"><span class="">http://www.ncl.ac.uk/ion/study/wellcome/</span></a> ).</span></p>
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<p class=""><span class=""><b>WHY STUDY AT NEWCASTLE?</b></span></p>
<p class="">The MSc in Neuroinformatics is a truly interdisciplinary degree and provides the dual skills necessary to establish a rewarding career in this research area. The Newcastle program has a research focus on data management, network analysis (e.g. Kaiser, Neuroimage, 2011), and simulation, whilst delivering sound training and an introduction to research in computation and statistics, including exciting new areas such as e-science and cloud computing.</p>
<p class=""><span class="">Newcastle is among the pioneers of the field in the UK and hosted the £4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. It also leads the development of simulations of optogenetic stimulation effects on human brain tissue as part of the £10m EPSRC/Wellcome Trust-funded CANDO project (<a href="http://www.cando.ac.uk/"><span class="">http://www.cando.ac.uk</span></a>/). Newcastle has strong links with the International Neuroinformatics Coordinating Facility (INCF). Currently, members of the faculty lead the data-sharing special interest group and the UK special interest groups in image-based Neuroinformatics and brain connectivity as well as in neurally-inspired engineering.</span></p>
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<p class=""><span class=""><b>COURSE CONTENT</b></span></p>
<p class="">Semester 1 contains modules to build the basic grounding in, and understanding of, Neuroinformatics theory and applications, together with necessary computational and numeric understanding to undertake more specialist modules next semester. Training in mathematics and statistics is also provided. Semester 2 introduces modules that focus heavily on introducing subject-specific research skills and includes three option slots for choosing modules. A major part of the Newcastle MSc in Computational Neuroscience and Neuroinformatics is a research project that will occupy approximately six months. This project may be associated with staff in any of the Schools mentioned above, thus providing a wide range of exciting areas in which the newly learnt Neuroinformatics skills can be deployed.</p>
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<p class=""><span class=""><b>HOW TO APPLY</b></span></p>
<p class=""><span class=""> </span>Applications for this program are now being accepted. You can apply online using the electronic application system with the degree identifier 5199F. Please check <a href="http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/"><span class="">http://www.ncl.ac.uk/computing/study/postgrad/taught/5199/</span></a> for more information.</p>
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<p class=""><span class="">Best,<br></span> Marcus</p>
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<p class=""><span class="">--</span></p>
<p class="">Marcus Kaiser, Ph.D.<br>Associate Professor (Reader) in Neuroinformatics<br>Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group<br>School of Computing Science<br>Newcastle University<br>Claremont Tower<br>Newcastle upon Tyne NE1 7RU, UK</p>
<p class="">Lab website:<br><a href="http://www.dynamic-connectome.org/">http://www.dynamic-connectome.org/</a></p>
<p class="">Neuroinformatics@Newcastle:<br><a href="http://neuroinformatics.ncl.ac.uk/">http://neuroinformatics.ncl.ac.uk/</a></p>
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