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learning, or human-in-the-loop AI workflows. Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI planning systems, or multi-agent systems. Familiarity with privacy and
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the synthesis and pathways component of the multi-institutional Grassland Futures project. This North American initiative brings together researchers and conservation practitioners from organizations
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multi-disciplinary, international team to assess the impacts of implementing efficiency-based methane mitigation strategies on smallholder dairy livelihoods and the potential for environmental
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, Faculty of Science and Technology Starting date: preferably in 2026, by agreement Project 6: Multi-agent knowledge bases Employment: UiT - The Arctic University of Norway, Department of Physics and