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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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after damage. Methodologically, the project aims to develop novel organoid-on-a-chip models of kidney injury. The applied techniques will include mouse and human kidney organoids, tissue engineering
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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Application Deadline 20 Oct 2025 - 10:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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of Population Dynamics and Sustainable Well-Being, within the Department of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni. Digital and computational demography is a growing
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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, cutting edge research towards scalable quantum computing A research track record commensurate with our ambition Our Offer: We work on the very latest issues that impact our society and are offering you the