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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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own simulations) identification of critical biogeophysical Earth system processes and feedbacks that shape planetary resilience coordination with the other scientists in the PB-TIP project, within
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research on democracy. Substantive areas of focus might include the functioning of democratic institutions, internal and external threats facing democracies, and processes of democratization and democratic
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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-frequency in-situ sensors and instrumental lab measurements, as well as new high-throughput AI-based approaches, while ensuring interoperability of data processing pipelines in coordination with scientists
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud