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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
-generation sequencing, computational biology, and genetic engineering strategies to drive these goals. The Group is within the Department of Microbiome Science, led by Prof. Ruth Ley. The project Methanogens
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Leibniz Association. For the third-party funded project “ökoZuG-BB: Sustainable ecological horticultural systems in Brandenburg,” the junior research group “Organic Cultivation Systems” (HORTSYS.JR) is
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
. Helmut Grubmüller) is inviting applications for a PhD Student or Postdoc (f/m/d) for the project Theory and algorithms for structure determination from single molecule x-ray scattering images. Project
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-fli.de ). The Research Group led by Prof. Claudia Waskow at FLI is looking for a highly motivated and talented Postdoctoral Researcher (m/f/x) to support and develop a project on macrophage homeostasis and
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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characterization of enzymes. To complement the young and committed team, we are seeking an excellent and enthusiastic postdoctoral researcher to start in November 2025 (negotiable). The project is supported by
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motivated and creative Postdoc for a combined wet and dry lab project in the Gilsbach lab. Job-ID: V000014326 Field of application: Institut für Experimentelle Kardiologie Location: Heidelberg Job Category
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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project within the SusMax network focused on developing interpretable machine-learning frameworks for kinetic multiphase reaction-network discovery in the catalytic conversion of renewable feedstocks