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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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Imaging (MRI), metabolomics and transcriptomics to study allocation and distribution of assimilate and metabolites in plants with special emphasis on seeds. Yield in cereals largely depends on grain filling
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political and economic power, geopolitical and distributional conflict, or institutional legacies and influential ideas shape how and which technologies are developed and deployed - and how this in turn
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density within these films, together with a non-uniform distribution of counterions and specific ion effects but there is no direct evidence supporting this theory. The task of this job is to investigate
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to emerging carbon dioxide removal techniques. To this end, distributed pelagic imaging techniques enable the sustained observation of aquatic life and its debris, comprehensively covering the earth’s water
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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practices in object orientation, component-based development, distributed computing, and business process management. It provides an integration of business and IT concerns. Course organisation The professors
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Writing Historical Theory and Methods of Source Analysis Early Childhood Education, Development, and Socialization Foreign-Language Teaching/Learning with Digital Distribution and Communication Media
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consult the website for the list of partner institutions. Location The fellows of the Max Planck School of Cognition are distributed all over Germany in various locations (please consult our website) as
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with