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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 4 days ago
(R3) Country Germany Application Deadline 30 Dec 2025 - 12:30 (UTC) 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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» Algebra Mathematics » Geometry Physics » Mathematical physics Physics » Relativity Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany
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spectrum of sciences. The Cluster of Excellence ‘Microbes for Climate (M4C)’ deciphers the fundamental molecular mechanisms of microbial contributions to the carbon cycle and uses synthetic biology to
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generation of stem-cell derived models, these platforms open new avenues to systematically explore tissue self-organization and disease mechanisms. The group of Prof. Bausch is establishing an automated cell
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biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
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Research Associate for the Project “BeRyQC” (Postdoc) § 28 Abs. 3 HmbHGInstitution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Physics, Institute for Quantum
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role of chromatin control mechanisms during viral latency and virus-induced tumorigenesis. We are particularly interested in fundamental principles that allow DNA viruses to disrupt, evade or exploit
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Programme? Not funded by a EU programme Reference Number LIN 2025/18 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Leibniz Institute for Neurobiology (LIN) is
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The Senckenberg Biodiversity and Climate Research Centre (SBiK-F), which is part of the the Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), is seeking to fill the
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling