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23.10.2025, Wissenschaftliches Personal Living systems develop complex structures and functions through principles of self-organization. Stem-cell derived organoids represent a unique platform to
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content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all prior to any training. Our team includes
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epithelial cell biology, cellular metabolism and mitochondrial function. Experience in mouse models and ex vivo organoid culture is a prerequisite. The candidate should also have the ambition and commitment
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, our scientists collaborate across disciplines to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical
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23.10.2025, Wissenschaftliches Personal Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput
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complexes relevant to gene-regulation. Tasks: Cloning and production of recombinant proteins from E. coli and of RNA by means of in vitro transcription Qualitative/quantitative analyses of protein-RNA/DNA
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metagenomic data from soil microbiomes Bioinformatic analysis of soil metatranscriptomes Genome-scale metabolic modelling of complex communities Contribute to design and supervision of laboratory-based soil
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, equitable, trustworthy, and context-sensitive. Multi-agent architectures where multiple AI systems collaborate, negotiate, and adapt to model complex human learning processes and support group work
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technology that will make it possible to publish, combine, and preserve statistical models for physics experiments and beyond, and to make them usable across programming languages (C++, Python, and Julia
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spanning multiple locations and entities, where complex constraints and resource interdependencies – among people, machines, and robots – demand the deployment of intelligent algorithms for orchestration