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Research Center (CRC) 1772 is to explore and harness previously inaccessible collective phenomena and ground states in heterostructures of molecules and two-dimensional materials. Two-dimensional (2D
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. The position is associated with the project “Probabilistic Reasoning about Common Ground” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research
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location in Müncheberg as PostDoc Minor Crops (f/m/d) Your tasks: synthesize existing agronomic knowledge on minor crops (e.g. chickpea, lentil, buckwheat, grass pea) design agroecological practices and
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 11 days ago
in the field of ground-based gamma-ray astronomy, playing a central role in the development of major new facilities CTAO (Cherenkov Telescope Array Observatory) and SWGO (Southern Wide-field Gamma-ray
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experice in machine learning, mathematical methods, and mathematical analysis Programming experience Teamwork and ability to work in an international environment Good communication skills Profound knowledge
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location in Müncheberg as PostDoc Minor Crops (f/m/d) Your tasks: synthesize existing agronomic knowledge on minor crops (e.g. chickpea, lentil, buckwheat, grass pea) design agroecological practices and
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
monitoring stations and satellite observations. However, our knowledge of smaller scales, such as those ranging from 100 m to 50 km, and the associated concentration fluctuations is limited. Consider
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20.06.2025 Application deadline: 13.07.2025 The following position is available in the newly established Collaborative Research Center 1718 “Common Ground: Cognition – Grammar – Communication
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that integrate domain knowledge to support structured chain-of-thought processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and