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University of Potsdam, Digital Engineering Faculty | Potsdam, Brandenburg | Germany | about 8 hours ago
the context of agentic software engineering LLM testing and LLM-based testing Automated test generation and software testing Testing of AI-based systems Automated program repair and synthesis Metamorphic
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research aims to develop the agricultural application
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Classification Title: DIR & EXT AGENT IV or PROF Classification Minimum Requirements: • Applicants must have a master’s degree from an accredited college or university in an Extension related
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an ambitious research program to advance how digital twins, agentic AI, and cyberphysical systems can improve collective decision quality across interconnected sociotechnical systems such as cities, critical
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. The researcher’s activities are to develop and validate on a pilot an agent-based generative-AI pipeline for automatically generating reports from the data collected in the data lake, while supporting and
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3 Mar 2026 Job Information Organisation/Company CNRS Department FrenCh austRalian labOratory for humanS/autonomouS agents teamING Research Field Engineering Computer science Mathematics Researcher
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The thesis will be affiliated with
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-9820. Department: CEA * Staff Chair * Clay County Department's Website: https://www.uaex.uada.edu/counties/clay/ Summary of Job Duties: The County Extension Agent – Family & Consumer Sciences conducts
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Within the Institute of Porous Materials of Paris, you are responsible
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://cavecore.eu/ Your Research Project (DC4) You will work at the intersection of machine learning, control theory, and autonomous multi-agent systems to develop hybrid learning-based control strategies