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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 5 days ago
and chromatin and advanced imaging analysis. Marie Curie Doctoral Network ‘AGILE’ Looking to work with and learn from world-leading experts in plant cell imaging? The newly funded Marie Curie Doctoral
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 7 days ago
Topic: Comparative chromatin analysis of supernumerary and standard chromosomes Objectives: Compare the spatial distribution and chromatin composition of standard A chromosomes and supernumerary B
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sorption and co-precipitation processes, as well as the reversibility of these processes. Furthermore, the effects of heterogeneities in the mineral composition and distribution on radionuclide migration in
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contract is based on § 2 WissZeitVG. Your Tasks: Generative diffusion models (DMs) learn to reverse a diffusion process from an analytically known prior distribution to a target distribution that is inferred
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 27 days ago
the Collaborative Research Center SFB 1324, which is a highly collaborative network of labs investigating the mechanisms of Wnt signaling in animal development and disease. Wnt signaling controls tissue patterning
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- experience with HPC clusters, parallel or distributed computing - German language skills We offer - a cutting-edge research environment at PETRA III imaging beamlines - collaboration with leading institutions
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organizational skills experience with HPC clusters, parallel or distributed computing German language skills We offer a cutting-edge research environment at PETRA III imaging beamlines collaboration with leading
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related field strong background in distributed systems, real-time computing, or networked control systems knowledge of UAV systems, swarm coordination, or digital twin frameworks experience with programming
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science