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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
cluster # Conduct excellent research, including publication in leading international journals, active dissemination of research results to academic networks and the general public # Attract further third
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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basic research neurobiology lab at the Free University in Berlin Germany. The main focus of the lab is the study of how genomic information 'unfolds' to develop neural networks with remarkable information
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 18 days ago
) Analysis of surface extreme events over Antarctica and mid-latitudes in relation to stratospheric variability Application of causal discovery and complex network methods to identify cause and effect
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
. Ferritic/martensitic steels, especially the Eurofer alloy specifically developed for fusion applications, are among the most promising material candidates. To enable the fabrication of complex geometries and
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The research group “Behavioral Neuroscience” focuses on decoding the exact mechanisms behind
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Research (SGN), is seeking to fill the following position at its location in Frankfurt am Main, ideally starting on 01.01.2026: PostDoctoral Researcher in Ecological Networks and NCP supply (m/f/d) (Full
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, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical
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, Heidelberg and Mannheim, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong
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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information