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, and agent-based modeling for care delivery Health equity, patient access, and system resilience Multi-modal data integration using EHR, claims, environmental, and behavioral datasets The successful
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managing the Research Protections Coordinator in the absence of the Director and when necessary to ensure the work load is handled efficiently. The supervisory duties include delegating protocol review tasks
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and artificial intelligence. This role offers a unique opportunity to support the development and evaluation of a multi-agent Retrieval-Augmented Generation system designed to accelerate understanding
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research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR
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generation ● Experience with retrieval-augmented generation, agentic or multi-stage workflows, or knowledge-integrated models ● A strong publication record in top-tier AI/NLP venues (ACL, EMNLP
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high-level expertise to research on AI safety in multi-agent systems. The appointee will work as part of a collaborative research team to investigate open challenges in AI safety, including surveying and
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distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) – Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and
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”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive decision-making in multi-agent autonomous systems by leveraging and
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State University is aiming to hire multiple Tenure-track or Tenured faculty as part of an ambitious multi-year cluster hire in AI across multiple university campuses, to help realize the university’s
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(PyTorch, Tensorflow etc.) Knowledge of multi-agent systems and autonomous agent modelling Expertise in Machine Learning and Artificial Intelligence We consider the following as an advantage: Willingness