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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
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, scientists from more than 40 countries across 12 locations in Germany conduct research in the fields of biodiversity, Earth system analysis and climate change. Following its mission to “analyze and document
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the German Baltic Sea coast Analysis of changes in locations and coverage during the last decades as well as the controlling factors Hydrodynamic model-based assessments of the drivers of changes in seagrass
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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properties (IOPs/AOPs) for the German Baltic Sea coastal region. This will serve as a training data set for AI-driven simulations in the SEAGUARD project and contribute to the analysis of drivers of change in
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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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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS
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in spatial equilibrium modeling (e.g., through coursework, dissertation work, or previous projects) experience with spatial data analysis using GIS tools or spatial libraries and familiarity with