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of composite materials "from the scientific basis to the component". To strengthen our team in the „Smart Composites & Nondestructive Testing“- we are looking for a Research Assistant (m/f/d) Your task Non
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using bending creep tests Salary group 13TVöD Temporary contract until 31.03.2028 Full-time / suitable as part-time employment The Bundesanstalt für Materialforschung und -prüfung (BAM) is a materials
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11.02.2026, Academic staff The TUM Chair of Aircraft Design is looking for a doctoral researcher in the field of Ground and Flight Testing of eVTOL & fixed wing drones/UAVs. The research is targeted
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17.10.2025, Academic staff Concerning a full position (100 %), we are hiring a Research assistant (f/m/d) at the Chair of Non-destructive Testing in the Project ScanPyramids for the non-destructive
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for an LLM-supported data browser Work on APIs, metadata schemas, structured outputs, logging, and containerized services Contribute to reproducible research software, including testing, documentation, and
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should be tested against data from the present and past, going back to 6000 years before today, and they should be enhanced to predict indicators of Nature’s Contributions to People (NCPs). Together
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 4 hours ago
of advanced battery cells. Your activities Development of polymer formulations for the marriage of active materials with metallic current collectors Manufacturing and testing of battery electrodes and battery
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organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials engineering and chemistry to improve the safety of products
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies