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missing factor in soil GHG flux models. BoTiKI aims at filling this knowledge gap and establish improved GHG models accounting for soil fauna. To achieve this, we create a rich AI-training dataset
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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Identification of soil invertebrates (e.g. mites, springtails, insects) using modern and classical techniques Laboratory analyses of soil properties Statistical analysis of complex ecological datasets Presentation
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or integrated pest management with hands-on experience in agricultural field trials solid knowledge of statistical analysis and publication of research results first experience in acquiring third-party funding is
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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to this interdisciplinary project by investigating the oceanic component—specifically how marine environmental variability influences R-Mode signal propagation and positioning accuracy. AIR-MoPSy is a joint effort of the IOW