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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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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 22 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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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
are already working towards an early start of deep-sea mining, there is still an urgent need for research on the associated environmental impacts. In the JPI-Oceans project MiningImpact, the Deep-Sea
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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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-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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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
competing interests impact its governance, but also drive the need for greater science to understand its changes. Postdocs in the cohort will undertake independent projects in collaboration with a Principal
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link various actors within the complex area of climate change. The successful candidate will be working in different case study in Europe under the frame of the EU Project NBS4Droughts. The primary goal
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02.07.2025, Wissenschaftliches Personal The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are
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project-limited basis for a duration 2 years and funded by the European Research Council. We are seeking a highly motivated postdoctoral fellow to conduct research on fundamental aspects of innate immune
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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