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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | about 1 month ago
years, TVöD E13, 65%). The project focuses on uncovering the mechanisms of quorum sensing in Klebsiella pneumoniae, with a special emphasis on host–pathogen interactions. If you’re interested in
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this centre, we are opening a PhD position on remote sensing of mountain forest dynamics. The Technical University of Munich (TUM) is one of the leading universities globally. At the TUM School of Life Sciences
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.10.2025 Job
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(additively manufactured at Uppsala University) will be the focus of this PhD project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and
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07.05.2022, Wissenschaftliches Personal The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology
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, which will be used to inform the digital twin for regenerative agriculture developed in action field 1 of ReGenFarm. work in an interdisciplinary team with other doctoral and postdoctoral researchers
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, microstructural analysis, mechanical testing) high sense of responsibility in the laboratory, and confident handling of complex equipment and systems great care, independence, and reliability, as well as strong
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
research aimed at understanding the dynamics of living systems from a physical perspective. The department is headed by Ramin Golestanian and hosts a number of group leaders, postdoctoral researchers
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations