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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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, living biological control agents have been deployed against agricultural pests for decades, creating landscapes in which pest populations have experienced contrasting histories of sustained selection. By
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 6 hours ago
validation data; Learn how to execute modeling & simulation to predict various outcomes, including efficacy and safety for opioid overdose reversal agents. Learn how to leverage statistical data analysis and
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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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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
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identifying and mitigating stressors through the evaluation of products and agents. Under the guidance of a mentor, you will engage in the implementation and post-procedural analysis for these projects. You
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for government, industry and the public. The research will focus on: Agentic AI systems and their governance Physical AI and its integration with real-world systems Measurement and evaluation of agentic AI
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outputs from across the RAi UK 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
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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evaluate targeted molecular imaging agents for translational research. You will work closely with investigators from multiple disciplines in a collaborative research environment and contribute to projects