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more than one meter to sea-level rise by the end of the century, making it a major concern for human societies and coastal ecosystems. Projections of ice sheet evolution rely in particular on model
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, ensuring strong support for every stage of the project. In addition, the institute offers access to state-of-the-art facilities and a dynamic scientific ecosystem supporting both experimental and
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at the interface between stochastic modelling, signal processing and data science. Ultimately, the project will develop key indices that can be used to assess the health of the soil ecosystem. Such indices
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). The institute also maintains locations in Dedelow and Paulinenaue. The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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). The institute also maintains locations in Dedelow and Paulinenaue.The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 5 days ago
-forms back to NH3 with the use of green electrons and water can contribute to fixed-N recycling concepts and inhibit the accumulation of reactive-N-species in the ecosystem. Meanwhile, the increasing
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. Methods to be used Fieldwork: participate in one survey to understand the ecosystem and measurement techniques. C++ coding with DuMux source code and its shallow-water module (link Darcy/Richards models
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from