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lead to emergent group behaviors, we develop modern tools such as tracking systems, biomimetic robots and interpretable machine learning models. In a new research project with our partner Bayer Crop
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joint cross-university research context in which new questions, methods, and approaches are used to create scientific foundations for empirically informed organizational development in the areas
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for developing early-warning systems for groundwater contamination in karst areas. The main goal is to achieve a better understanding of the transport processes governing the spatial and temporal dynamics of fecal
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the planning and execution of workshops • Support in the preparation of project publications Desirable: • Enrolled in a degree program in Ethnology/Social and Cultural Anthropology or European Ethnology • Strong
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Dust Analyser onboard the Cassini space probe - Collaboration with a computer scientist who is developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra
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involved researchers with project proposals, publications, and hiring processes, and monitors the procedures for internal fund allocation. Additionally, measures are developed and implemented to ensure equal
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oligosaccharides using ion mobility mass spectrometry and gas phase IR spectroscopy. Both established techniques are applied and new methods are developed, especially for the differentiation of isomers. As part of
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electron spin resonance (ESR) spectroscopy techniques. We develop and apply in situ ESR spectroscopy methods to characterize the structure and heterogeneity of these membrane protein complexes in intact
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-term changes of these processes in a changing climate. In addition, the research associate will have the opportunity to develop other research areas according to his/her interests. He/she will support