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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins for agroecosystems
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forming a moist microbial rhizosphere habitat. Your work will build on the process-based soil-rhizosphere-plant model, developed at the Agrosphere Institute, which integrates a 3D functional-structural
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 2 days ago
experts for your personal development · Allows scientific independence and flexibility for nurturing your ideas and concepts Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application
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, provided these are relevant to their academic background, skills, and research interests. The positions are hosted at leading European institutions, including: DC1: Development of Mg-Based Thermoelectric
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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and simulation modeling. A quantitative understanding of ecosystem dynamics provides the foundation for the development of robust management concepts for the sustainable provisioning of diverse
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 16 days ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software