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faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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a US-based service which processes data on servers based outside the EEA. The Interfolio privacy policy can be viewed here www.elsevier.com/legal/privacy-policy . Information submitted via hard-copy
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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modelling under uncertainty. Experience with quantitative research methods, stated choice experiments, simulation modelling, agent-based modelling, transport modelling, econometrics, or related approaches is
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multiscale, off-lattice agent-based model of tumour initiation and clonal evolution using Chaste, an open-source simulation framework for cell populations co-developed in Sheffield (Cooper et al., 2020, doi
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can