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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 days ago
the development of agentic artificial intelligence systems. Unlike conventional conversational systems, AI agents can generate action plans, invoke external software tools and APIs, communicate with other agents
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disciplines. Generative AI and AI agents are rapidly changing how software-based systems are being designed, developed, and evaluated. While AI agents have become common in certain Software Engineering tasks
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-agent" that integrates multimodal health data, including MRI examinations, PSMA PET/CT imaging, histopathology results, and longitudinal electronic health records, to support clinical decision-making in
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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agents for the imaging of solid tumours. Project Overview The successful candidate will contribute to the design, synthesis, and evaluation of innovative tumour-targeting contrast agents for applications
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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social dynamics, the research aims to advance the state of language generation for conversational agents across multiple domains and languages. Where to apply Website https://phd.fbk.eu/calls/detail
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integration of West Nile virus and avian influenza issues into a participatory multi-agent model developed for the prevention of zoonoses as part of the PREZODE ZOOCAM project. The assignment aims to produce