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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
qualified Post-Docs interested in Computational Social Science. This application call is targeted to the broad topic of artificial intelligence, computing, and society. Research Themes and Teams The Network
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the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany). Fellows4Fungi - Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie
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). Fellows4Fungi – Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie Skłodowska-Curie Actions (MSCA COFUND). The programme is focused
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sciences » Biology Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 25 May 2026 - 23:59 (Europe/Berlin) Country Germany Type
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immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop efficient immune therapeutic strategies in these areas. Close networking between University and University Hospital
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neural networks, transformer architectures, diffusion models, foundation models for biology and medicine, and agentic AI workflows such as autonomous analysis agents. In close collaboration with clinical
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. Through academic, clinical, and industry partnerships, as well as global networks, we strive to translate biological discoveries into applications that enable the early detection of deviations from health
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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a well-connected research campus (public transport) and best networking opportunities, subsidy for the Deutschlandticket if certain conditions are met (job ticket) individual opportunities for further
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well as data collected during the project. Experience in computational modelling is an asset. The activities of the research group are closely connected to the Tübingen Center for Digital Education (TüCeDE