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into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
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support and services for the analysis of large-scale omics data. RESPONSIBILITIES: Develop, implement, and maintain bioinformatics pipelines for various omics data, including RNASeq and scSeq besides others
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the German Research Foundation (DFG). The priority area contributes to a better understanding of language technology (in particular, large language models, LLMs) and its applicability in the sciences, with a
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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated
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part of a large collaborative research center “Quantitative Synaptology” (SFB1286), and focuses on investigation of the regulatory role of the synaptic vesicle cluster. The synaptic vesicle cluster is a
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
science. Short description of the doctoral project Large-scale bibliometric data have opened up unprecedented opportunities to measure, model and forecast migration of scientists (see the Scholarly
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responses. Among these, Nucleotide-binding, Leucine-rich-Repeat proteins (NLRs) constitute a large family of intracellular receptors of pathogen-associated molecules, termed effectors. To restrict infection
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interdisciplinary journals and conferences, and contributing to open-source research software. The developed methods will be validated using large-scale electron microscopy data from collaborative research projects
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify