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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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different languages, to explore different transformational strategies for sustainable tourism. The specific tasks of this project would consist of document selection and review, data cleaning and pre
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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
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potential distribution in the German Baltic Sea. Your tasks will include: Compilation of existing monitoring data on seagrass occurrence and coverage, density and composition today and in the past along
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mechanisms will be investigated in healthy and clinical populations (i. e. psychiatric or endocrine) both in experimental and cohort data. This highly interdisciplinary research requires a systematic
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, business and society. Through our five fields of activity - research, promotion of young researchers, policy advice, participation in public debates and information/service - we contribute to maintaining and
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-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful
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interdisciplinary and transdisciplinary analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using
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on the collective agreement for the public service in the federal states of Germany (TV-L) Contact and Application For further information, please contact Prof. Dr. Ulrike Cress via phone: +49 7071 / 979-209 or by