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Field
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of the effects of insect or disease disturbances on forests across the U.S. based on forest inventory data and use a forest simulation model to project the future effects of those agents on forests
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for the analyses will be the intervention plans of multi-stakeholder platforms (Ethiopia) and expected behaviors of agripreneurs and farmers (Kenya) using agent-based models; Assess the potential for co-developed
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• Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs • Assist in stakeholder
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datasets • Support the integration of causal models within agent-based and simulation frameworks • Prepare peer-reviewed journal articles, technical reports, and policy briefs
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the College of Computer & Informatics’ Department of Computer Science seeks a part-time Research Assistant to explore the intersection of Large Language Models (LLMs) and automated planning. The Research
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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Research Assistant in Farm and Landscape management for sustainable land use transition and reduc...
to agent based modelling Data collection combined with stakeholder workshops, interviews and surveys with organic and conventional farmers, including potentials for better collaboration at the landscape
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to agent based modelling Data collection combined with stakeholder workshops, interviews and surveys with organic and conventional farmers, including potentials for better collaboration at the landscape