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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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application. Information on the protection of your personal data can be found at https://leibniz-ifl.de/en/functions/data-protection-job-advertisement The IfL advocates professional equality for all genders
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10 Apr 2026 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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27 Mar 2026 Job Information Organisation/Company FBN Dummerstorf Research Field Agricultural sciences » Zootechnics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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, ideally ethnographic fieldwork. Experience in qualitative data analysis is also necessary. Experience with participatory design or participatory methodologies is desired. Other forms of experience in
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
performing preclinical fMRI or fUSI studies, including data analysis, rodent handling, surgery and behavioral experiments. Strong programming skills (e.g., Matlab, Python) are required. Additional knowledge
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
to the Earth’s dynamo and to large-scale flows in Jupiter and Saturn. Your tasks Investigating rotating convection and 2D turbulence using theoretical, numerical, and data-driven approaches. Studying the formation
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(preparation and staining (IF, IHC), confocal and fluorescence microscopy, analysis and evaluation) Experience with quantitative analysis of imaging or physiological data (e.g., microscopy, cardiac imaging
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E 13. About the project: The MountAInWater project aims to produce a global mountain reanalysis product combining information from observation sites and high-resolution land surface models based