22 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD research jobs in Germany
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- Technical University of Munich
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- Friedrich-Schiller-Universität Jena
- GFZ Helmholtz-Zentrum für Geoforschung
- Leibniz Institute for Natural Product Research and Infection Biology
- Leuphana University Lueneburg
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) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the
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Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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-time Hours Per Week 19.6 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A121-26 Is the Job related to staff
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Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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) • Solid wet-lab experience and experience in library preparation for next-generation sequencing • Experience working in a Linux/Unix environment and R programming • Written and oral communication skills in
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well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More in-formation about the group is available at http://pur.wzw.tum.de
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As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate program, which includes tailored training, workshops, retreats
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postdoctoral scientists. We offer structured, interdisciplinary PhD and career training programs based on top-level fundamental research. They conceptually combine different research areas to a comprehensive
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted