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PhD position / Postdoc position (all genders) in AI for biomedical data analysis Full time/ Part time | Temporary | Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together
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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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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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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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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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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
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data
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exchanges and MRV implications Work with project partners to develop novel MRV approaches Engagement with interdisciplinary team, outreach with mCDR stakeholders Your profile PhD in chemical or physical
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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