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AI for science, literature-based discovery, or scientific knowledge extraction. Experience building or modifying AI agents, tool-using models, or code generation systems. Experience with high
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(1-2) Applicants with expertise in one or more of the following areas are encouraged to apply: * Foundation Models * Agentic AI * Reinforcement Learning * Medical Image Analysis Position 2: Intelligent
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prototype knowledge graph-based retrieval for cross-document entity relationships (fund → manager → counterparty → regulatory status) · Experiment with multi-agent orchestration for parallel due
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. Evidence-based Practice Maintains expertise in the ADNP practice model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based
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the exoskeleton with an AI-based digital health intervention, specifically an LLM-based conversational agent that will deliver support via a companion mobile app. The app will serve as both the user interface
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at the interface of microbubble formulation chemistry, acoustics, and biomedical engineering, advancing hemoglobin-based microbubble platforms from in vitro proof-of-concept toward in vivo validation
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. Responsible for the configuration, deployment, and lifecycle management of AI assistant platforms, AI agent development environments, and model deployment platforms, as well as the underlying cloud
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The Extension Agent for Family and Consumer Sciences will: develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families
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population vulnerability. The postdoctoral researcher will play a central role in connecting behavioural decision-making with environmental exposure assessment through the development of an Agent-Based Model
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an