39 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" Postdoctoral research jobs at Nature Careers in Germany
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Location: Hamburg Application deadline: 01/21/2026 Helmholtz-Zentrum Hereon operates an outstation at DESY in Hamburg to provide access to highly brilliant synchrotron radiation within its German Engineering
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The Max Planck Institute for the Physics of Complex Systems in Dresden announces the opening of one or several Postdoctoral Positions in Condensed Matter and Quantum Information Theory The areas
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Helmholtz-Zentrum Hereon The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,000 employees contribute to the tackling of climate change
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by nature?s most powerful resource: water. For the Institute of Metallic Biomaterials, Helmholtz-Zentrum Hereon for February 1st 2026 we are looking for a Postdoctoral Researcher - Automated
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Resilience, we are seeking as of February 2026 a Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology Reference number: 2025-0319 Your Tasks The successful candidate will use
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chromatin remodelling complexes, and benchmark their activities generate nucleosome positioning maps using sequencing-based readouts (e.g., MNase-seq, Fiber-seq) and perform quantitative data analysis
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Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range
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Mechanobiology, Stem Cell and Bone Marrow Niche Biology, or a related field Professional experience in cell mechanics research Professional experience with confocal microscopy and data visualization Professional
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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA