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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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develop a framework based on collaborative AI concept, e.g., Agentic AI or other collaborative Large Language Models (LLMs), that synthesizes actionable intelligence from distributed, heterogeneous data
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program areas and the respective county Agent(s). You will report to an Area Extension Director and there will be a high level of interaction with the general public. The Extension Assistant will be
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-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed
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expertise in agent-based modelling. The models we build will have an interface with community stakeholders and mobility service providers, so we are particularly seeking applicants who are comfortable in
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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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integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes
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3 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves, when a transient optical excitation is used. The optical
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, including regional campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health