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Field
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. The aim of this project is to determine how ppRHOs underpin this ecosystem service. Thus, the PhD candidate will physiologically characterise ppRHO knock-in diatom cell lines and investigate how those
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to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
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large language model (LLM). Development of new business models and MRV methods, where digital tools support the implementation of payments for ecosystem services. Development of new operational solutions
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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
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for the research topic “Modelling the impacts of soil pollution on soil ecosystem services”. The topic is focused on ecosystem services, soil ecotoxicology, soil contamination, and ecological risk assessment. The
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of Communities team and interact with its members. The modeling work will also involve collaborations with researchers from CEFE (Montpellier), BIOGECO (Bordeaux), and forest management partners (ONF). Our little
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join the terrestrial ecosystem ecology and modeling group led by Dr. Lee within the Biodiversity, Ecology, and Evolution research division. The group uses both observations and modeling to understand how
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management. The research will directly contribute to the agroecological transition, seeking to align productive efficiency with ecosystem preservation and the reduction of both water and carbon footprints
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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environmental disaster (climate change) for another (ecosystem damage). A circular economy for EVs, which seeks to recover waste at all stages of the life cycle, has been proposed as a partial solution to curb