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Field
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(RL) training for large language model (LLM) agents. Prepare and submit conference papers. Co-supervise undergraduate and/or graduate students. Support teaching activities, including course preparation
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
territorial indicators for multi-thematic monitoring; Identify cascading effects of environmental degradation on human health; Anticipate environmental and health-related changes; Apply Agent-Based Modelling
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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portfolio and the wider Responsible AI landscape into clear, evidence-based policy advice for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical
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practical experience applying AI and/or NLP tools, such as conversational agents in research or applied contexts, alongside strong analytical skills. Candidates should have experience of designing and
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control-system development. • Experience in multi-agent systems, autonomous systems, marine robotics, or coordinated control is advantageous. • Familiarity with numerical simulation and integration
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, large language models, AI agents, and 3D reconstruction techniques to generate structured digital representations from multimodal data and support infrastructure monitoring, management, decision-making
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; André Venturoti Perrotta; Paula Alexandra Gomes da Silva. IV - Work Plan / Goals to be achieved: The scholarship will support the building of a functional prototype where an intelligent AI agent is
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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experience in atomistic simulations is preferred. • Development or working experience of generative models in scientific applications (e.g., diffusion/flow model) and working experience with agents