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• Information-theoretical analysis of entanglement-supported classical communication, • Encoding protocols for entanglement-assisted classical communication, • Protocols for interleaving transmission in networks
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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, execution, and evaluation of experimental series as well as process optimization Presentation and publication of results and communication with project partners Project management, acquisition of new topics
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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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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
groups in the REC2 Excellence Cluster # Test and validate the developed predictive concepts with material scientists and device designers # Communicate insights gained to colleagues in the REC2 excellence
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 18 days ago
Job Code: 07/2025 Job Offer from November 21, 2025 We are seeking to fill one postdoctoral position as part of the Simons Collaboration on Learning the Universe . In this international network
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network of experts from across various research centers in Germany. Forschungszentrum Jülich will thereby provide you with unique access to quantum computing hardware—directly on campus! This job offer is
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academic, clinical, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in
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. Excellent written and oral communication skills in English. DWI offers A fully funded position for an initial duration of 1 year with a E13 TV-L 100% contract, with possibility of extension A dynamic
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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