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integrate multisource Earth Observation data for tillage impacts and Soil Organic Carbon monitoring. We are offering, in subject to final confirmation by the funding organization, a 80% position (32 hours per
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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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-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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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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-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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, 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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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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information at: http://www.ifw-dresden.de The IFW Dresden announces the immediate opening for a Postdoc position (m/f/d) for research in non-equilibrium condensed matter physics in the Institute for Theoretical
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aims to shed light on AMOC variability and change during the last two millennia by combining climate model simulations with proxy data, using particle filter data assimilation, and to link