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The Research Data Centre (RDC) at Halle Institute for Economic Research (IWH) – Member of the Leibniz Association is seeking to hire a Researcher in Data Integration & Open Science (f/m/x, 100
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 21 days ago
shared neural core circuit—the central complex. This project will investigate the central complex as a unified navigation circuit, integrating data across species and behavioral contexts. You will: Develop
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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Landscape Research) campus in Müncheberg, near Berlin, and is integrated into regional, national, and international (biodiversity) research networks. Your Tasks Develop and apply methods to extract
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Philosophy, History, Sociology and Medicine. The announced project is part of a work package called “Focusing on patient outcomes”, which emphasises goals like integrating patient-reported outcomes (PROs) and
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as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly
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for biology and healthcare; then, the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM), and its integrated Institute of Biological and Medical Imaging (IBMI) at the Helmholtz
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research environment. Access to state-of-the-art equipment and facilities. Member of the integrated Research Training Group for dual mentoring, comprehensive doctoral training program, weekly seminars
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involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD
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. Multiple spatial signal paths are utilized to further scale up data capacity beyond the limits of a standard fiber. This research aims to develop Few-Mode MCF, integrating two advanced Spatial Division