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, large language models, generative AI, model protection, adversarial machine learning, and agent security. Experience in adversarial machine learning, agent security, federated learning, and model
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, ultimately affecting therapy dose. In this project, we will complement the exoskeleton with an AI-based digital health intervention, specifically an LLM-based conversational agent that will deliver
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feeds Large Language Model (LLM) for source code analysis in security evaluation H/F 138 / 463 vacancy Détail de l'offre Description du poste Domaine Mathématiques, information scientifique, logiciel
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shareinformation, and help create a welcoming environment. • Referral Agent: Know Hall, campus, and Greenville resources to connect residents asappropriate, keep the supervisor informed with floor
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shareinformation, and help create a welcoming environment. • Referral Agent: Know Hall, campus, and Greenville resources to connect residents asappropriate, keep the supervisor informed with floor/resident
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experience with cloud-identity/security (eg Azure, AWS, cross-cloud federation). Strong AI exposure with understanding of Agentic Identity, including Model Context Procol (MCP), Agent-to-Agent (A2A), etc
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‑ based, agent ‑ based, or stochastic simulations) for analysis, experimentation, or decision support. Skills & Attributes Required Proficiency in Python and familiarity with modern ML/AI development
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks
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and ABSL-3 Comply with vaccination requirements when necessary Successfully complete and maintain US Department of Justice screening for Select Agent registration Achieve external certification for
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and deep learning Generative AI and agent-based systems Identify, prioritize, and scale high-impact AI use cases across clinical, operational, and research domains. Partner with CHIO to enable