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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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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 30 days 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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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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-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
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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English Strong independence, commitment, and sense of responsibility Reliable and conscientious working style Excellent teamwork and collaboration skills Our Offer: We work on the very latest issues
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, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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synthesis Fluent command of written and spoken English Strong independence, commitment, and sense of responsibility Reliable and conscientious working style Excellent teamwork and collaboration skills Our
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impact and adaptation analyses, and for spatio-temporal modelling as well as upscaling of ecosystem properties via remote sensing Interactive collaboration and exchange within the TUM Center for Forest