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://concert-japan.eu/research/advanced-multimodal-sensing-and-data-fusion-for-early-digital-detection-of-plant-stress-symptoms/ The focal topics of the sub-project include: Development of experimental protocols
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) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de/de/microbiome-dynamics.html ) invites
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, providing resources and infrastructure for developing innovative ideas and their implementation. Work-Life balance: Universitätsmedizin Greifswald advocates for a balanced work-life approach, offering
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-resilient woody plants (LaserRoots)’, which is funded by the European Regional Development Fund (EFRE). The sub-project of Leibniz Universität Hannover ‘SteBeLa: Control and evaluation of laser-induced
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data Development of algorithms for infection and evaluation of infection hotspots in the plant population Coordination of the scientific interface to the project partners with regard to entomological
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accumulation trajectories. Starting from December 1, 2025, DIW Berlin is looking for a Researcher (f/m/x) (Full-time). Your responsibilities Develop your research agenda within the project Close collaboration in
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accumulation trajectories. Starting from 1st Dec 2025, DIW Berlin is looking for a Researcher (f/m/d) (Full-time) Your responsibilities: Develop your research agenda within the project Close collaboration in
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 21 days ago
for highly-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting