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theory. In particular, methodological connections to areas of mathematical analysis and/or quantum information theory are desired. Willingness to acquire competitive third-party funding and to participate
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Robotics at the Department of Computer Science & Artificial Intelligence. Interested? You can find the link to the application portal as well as more detailed information about the position, our scientific
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Professorship (W3) in Ophthalmology available by 1 October 2026. The position will be filled on a salaried basis unless the person to be appointed already is a civil servant. This professorship is linked
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application and have in-depth knowledge in one or more of the following areas: Semantic technologies, linked data, OWL-based knowledge graphs and ontology engineering Data management, integration and analysis
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at TUM Graduate Center (Link ) you will learn the methods of academic research and have access to opportunities for content-specific postgraduate courses. Requirements Successfully finished studies with a
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 22 hours ago
datasets and likely additional data collection in the field. Your qualifications Successfully completed Master’s degree (including M.Sc. thesis) in biology, zoology, anthropology, or related fields
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knowledge and practical experience in the field of identifier systems, data publishing and archiving practical experience in the analysis of linked open data, semantic web or ontology development very good
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environmental sciences, agricultural economics, geography, sustainability science, or similar basic knowledge of statistics and data analysis experience with or willingness to learn agent-based modeling (Python
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/j.scitotenv.2015.06.122 Gruber, W., Niederdorfer, R., Ringwald, J., Morgenroth, E., Bürgmann, H., & Joss, A. (2021). Linking seasonal N2O emissions and nitrification failures to microbial dynamics in a SBR
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observation of ecological and social dynamics in the living labs is carried out through systematic data collection, data documentation, linking, and data publication. The working group develops and provides