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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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large scientific collaborations by applying methods from social network analysis, large language models (LLMs), and knowledge graph technologies. As part of a small, supportive research team, you’ll have
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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Excellent command of advanced statistical methods, such as network analyses, using the R programming language Strong publication record relative to the career stage, demonstrating research excellence and
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achievements • very good track-record of research and publication activities, preferably on an international level in one of the following areas of management: Organization, strategy, alliances and networks
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of democracy, political communications, influence operations, and digital media through diverse case studies. We are seeking an excellent post- or pre-doctoral researcher with expertise in at least one less
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tightly embedded into an interdisciplinary and inter-institutional network. As a postdoctoral researcher in coupled hydrodynamic-ecological modeling (24 months, 100%), you will fill a central position to
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Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023). MBD is currently coordinating the EU-funded consortium MiCCrobioTAckle (https://www.miccrobiotackle.eu/# ), the BMBF-funded
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our research institute and the project ALANIS, your work will be tightly embedded into an interdisciplinary and inter-institutional network. As a postdoctoral researcher in coupled hydrodynamic
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID