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physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
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of modeling higher-order relational structures such as hypergraphs and simplicial complexes, which are prevalent in complex biological systems like protein assemblies, signaling pathways, and metabolic networks
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of the Microverse” (https://www.microverse-cluster.de/en/# ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (https://www.funginet.de/willkommen.html# ) funded by the Deutsche
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thereafter. Job description You will undertake quantitative research on how echolocating bats and toothed whales use sound to hunt and navigate in complex environments. To do so, you will use state-of-the-art
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analytical sciences. We are looking for talented people to join us. Your responsibilities include: Interdisciplinary research within the project "Complex and Competing Phenomena in Recycled Flame-retardant
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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, Heidelberg and Mannheim, 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
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and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026
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, and report relevant data. Direct data collection. Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required. Perform other
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(NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work will be the systematic analysis and interpretation of multi-omic datasets