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or planning. Experience with ROS2, simulators, LLMs, or underwater robotics is highly valued. Where to apply Website https://apps.udg.edu/contractacioPDI/account/login.aspx?id=recerca&tipus=recerc… Requirements
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; (ii) Large Language Models (LLMs) and multimodal foundation models for cross-domain reasoning and knowledge integration; (iii) continuous learning and model adaptation in dynamic and evolving
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Synthesis Science program in which the postdoc will combine literature data extraction, LLM reasoning, and theoretical materials science to guide synthesis protocols for automated sol-gel and solid-state
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). • Assisting with coding and qualitative analysis using tools such as NVivo and LLMs (training provided if needed). • Contributing to literature reviews, research memos, and summaries. • Supporting project
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LLM agents, reinforcement learning, multi-agent systems); and excellent communication and collaboration skills with a commitment to an inclusive, respectful research environment. Informal enquiries may
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vary). Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims/evidence, reproducible AI-in-the-loop pipelines
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, or trustworthy AI agentic AI, multiagent systems, sequential decision making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming
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on the LLM/agent and HCI layers of IDEAS, including: Mixed-initiative AI assistants for visualization and analysis, Natural interaction paradigms for scientific workflows, Integration of agentic systems with
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making, and LLM-based reasoning embodied or physical AI, robotics, autonomous systems, or intelligent infrastructure systems strong programming and computational research skills ability and interest in
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data Familiarity with agentic LLM-based approaches and related technologies (e.g., RAG, MCP, A2A) Interest in interfacial phenomena and defect dynamics in materials across scales Job Family Postdoctoral