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-funded Environmental Research Data Repository (EnviStor) using agentic AI. This entry-level role is ideal for students looking to gain experience in data analytics and AI collaboration. As an AI Data
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qualification (usually PhD). Research area: Systems of interacting particles are ubiquitous in natural and social sciences. Typically, they comprise many agents that, through intra-specific and inter-specific
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Application deadline: 07/01/2026 Research theme: Theoretical Physics, Quantum Theory, Quantum Information, Applied Mathematics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5 yearlong
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Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference
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four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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affiliated locations. This report is available online at: http://www.mnsu.edu/safety/.You may also request a paper copy from University Security at 507-389-2111, or by emailing security@mnsu.edu.This position
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documentation (reports and specification notes).; - Develop simulation models (e.g., agent-based/spatial) of animal movement and pasture dynamics, calibrated from real data.; - Integrate ML forecasts (meteorology
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development in powder bed electron beam additive manufacturing (EB-PBF), with a focus on AI-driven process planning, heat simulation, and process optimization. The work includes developing physics-based AI
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severity assessments. Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system. Carry out