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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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Germany Type of Contract To be defined Job Status Other Offer Starting Date 27 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
Researcher (R1) Application Deadline 20 May 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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and challenge of the cluster is its pronounced interdisciplinary nature, requiring not only the already comprehensive expertise of a single, well-defined field but also that of several cross-linked
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technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University of Cape Town (UCT
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20 Mar 2026 - 11:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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disciplinary depth and interdisciplinary approaches. It also offers opportunities for international network building. The members of the Academic Board of the doctoral programme belong to different disciplines
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Helmholtz Research School for Nanoelectronic Networks
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international standards in graduate education and is constantly improving its services in line with the needs and interests of doctoral candidates and postdocs. GRADE is to ensure the high-quality provision
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analysed with bioinformatics tools providing the basis for systems-biological models for an understanding of interactive networks in multi-partner and multi-level consortia. Continuous exchange of knowledge