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<p>The working group Statistical Neuroscience at <a href="https://www.fz-juelich.de/inm/inm-6/EN/Home/home_node_INM6.html">
INM-6 Computational and Systems Neuroscience</a> at Research Center Juelich, Germany, led by
<a href="https://www.fz-juelich.de/SharedDocs/Personen/INM/INM-6/EN/staff/Gruen_Sonja.html">
Sonja Grün</a> develops statistical methods for the analysis of experimental electrophysiological data from massively parallel electrophysiological recordings and leads the development of open source software tools for the analysis of activity data and validation
of models on the population level. The department aims to fill a postdoctoral position that is responsible for the analysis of massively parallel spike and LFP data acquired in a collaborative project with CNRS-AMU, Marseille.
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<p>Your Job:<br>
• Analysis of massively parallel spike and LFP data from the Vision for Action project (visuo-motor integration across areas)<br>
• Adaptation of machine learning algorithms and/or further development of methods for the analysis of these neuronal multichannel data<br>
• Development of methods for quantifying the relationship between spike patterns and LFP/ECoG data<br>
• Optimization and adaptation of neuronal network model in NEST for the comparison of experimental and simulated activity data<br>
• Implementation of data analysis tools in Python and integration of the codes into the shared analysis library Elephant<br>
• Contribution to the data analysis pipeline, under FAIR principles<br>
• Cooperation with experimental collaboration partners<br>
• Integration of the work into Ebrains / HBP<br>
• Presentation of project results at international conferences<br>
• Scientific and administrative project coordination<br>
• Support in the supervision of PhD students<br>
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<p>Your Profile:<br>
• MSc in physics, data science, mathematics or computer science; PhD in computational neuroscience, applied mathematics, physics or related<br>
• Detailed knowledge of neuroscientific concepts, especially in neuronal dynamics, statistical analysis of neuronal activity and dynamics<br>
• Expertise in network modelling at different spatial levels<br>
• Experience with large-scale data-science activities and scientific programming, especially Python<br>
• Fluent in spoken and written English<br>
• Experience in scientific publishing in a related field <br>
• Proactive working style, confident appearance and communication skills, high social competence and ability to work cooperatively in a team<br>
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<p>The position is initially for a fixed term of 2 Jahre years. Salary and benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD, salary grade 13-14). FZ Jülich promotes equal opportunities and diversity in its employment
relations. We also welcome applications from disabled persons.<br>
Please apply via<a href="https://www.fz-juelich.de/portal/EN/Careers/application/_node.html?cms_hre_link_id=cSaCNW3jTGDdlgGu&cms_lang=en"> our recruitment system</a> under reference number: 2021-323.<br>
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<p>Martina Reske</p>
<pre class="moz-signature" cols="72">--
Dr. Martina Reske
Scientific Coordinator
Institute of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience &
Institute for Advanced Simulation (IAS-6)
Theoretical Neuroscience
Jülich Research Centre and JARA
Jülich, Germany
Work +49.2461.611916
Work Cell +49.151.26156918
Fax +49.2461.619460
<a class="moz-txt-link-abbreviated" href="http://www.csn.fz-juelich.de">www.csn.fz-juelich.de</a></pre>
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Forschungszentrum Juelich GmbH<br>
52425 Juelich<br>
Sitz der Gesellschaft: Juelich<br>
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498<br>
Vorsitzender des Aufsichtsrats: MinDir Volker Rieke<br>
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),<br>
Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht,<br>
Prof. Dr. Frauke Melchior<br>
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