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1 Sep 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 8 days ago
research institute. HITS conducts basic research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 10 hours ago
sciences, or a related field. Strong expertise in systems biology, multi-omics data integration, or computational analysis of complex biological datasets. Knowledge of obesity, metabolic disease biology
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), and Julio Saez-Rodriguez (Systems Biomedicine, Institute of Computational Biomedicine. If you are a curiosity-driven researcher who enjoys interdisciplinary teamwork and tackling complex biological
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The Center for Systems Biology Dresden (CSBD) is seeking applications for ELBE postdoctoral fellows The ELBE postdoctoral fellows program welcomes independent researchers on the postdoctoral level
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-on experience in the design, construction, commissioning, and operation of complex experimental setups Programming experience in scientific computing environments (e.g., Python, MATLAB) Independent, proactive
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Deadline 9 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job
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- 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 11 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and