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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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at 501-671-2219 or 479-502-9820. Department: VDL | Vet Diagnostic Lab Department's Website: https://aaes.uada.edu/technical-services/veterinary-diagnostic-lab/ Summary of Job Duties: • The Program
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of commissioning standards, scopes or work, and RFPs; manages external commissioning agents; and acts as the owner’s technical advocate during the commissioning phases of new construction and renovation
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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staff. You will be expected to be a leader and mentor. You will influence the minds that will affect our world. As a change agent, you will use your intellect and influence to make a positive impact on
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). Demonstrated proficiency with AI and experience working with agentic coding tools (e.g., Cursor, OpenAI Codex, Claude Code, Anti-Gravity) to accelerate development workflows. Excellent analytical, problem
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position in the area of AI for Software Engineering. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Industrial Engineering and Computer Science Engineering
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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structures (Banner, Workday, Salesforce, ServiceNow, and other enterprise systems) and build modern, scalable data pipelines and transformations that enable analytics, automation, applied AI, and agentic
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in