247 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral research jobs in Germany
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science, composite engineering, interfacial mechanics, and chemical polymer design to eastablish a new binder type that is suitable for industrially scalable dry electrode processing. The successful
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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5 Feb 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 13 Feb 2026
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have completed a Master’s degree and hold a PhD in a field relevant to forest sciences. Applicants should be eligible to apply for an ERC Starting Grant or the Emmy Noether Programme after two years
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plant development. PLoS computational biology, 15(6):e1007121, 2019. doi: 10. 1371/journal.pcbi.1007121. URL https://journals.plos.org/ploscompbiol/article?id=10.1371/ journal.pcbi.1007121 . D. E. Moulton
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for the honeybee research program. Postdoctoral Researcher (f/m/d) “Insect Systems Neuroscience - Sleep, Social Reward and Memory Consolidation in Honeybees” The Post-Doc position, with a salary of TV-L E13 in full
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04.03.2026, Academic staff A Postdoc position is available in the laboratory for Cellular Protein Biochemistry at the Technical University of Munich (TUM) Department of Bioscience. Our laboratory aims at understanding how proteins fold, assemble and are scrutinized by the cellular quality...
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning