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Field
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ontology alignment Develop multi-agent or RAG -style (retrieval-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional
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History Museums, Collections and AI 3D Scanning and Digital Heritage Extended Reality (VR, AR and Mixed Reality) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art
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Situ visualization; Real-time multi-variate volume rendering; Mixed reality; 3D User Interfaces; Spatial Computing; Collaborative visualization Eligibility citizenship Open to U.S. citizens level Open
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stress responsiveness. The project will develop and validate individually calibrated behavioral tasks in immersive virtual reality (VR) to quantify effort-based motivation, vigor, persistence and goal
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. Technical development. Advance methods such as retrieval-augmented generation, source-grounding, and evaluation infrastructure in collaboration with technical team members and external partners
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behaviors within XR. Instructional Leadership: Assist in teaching and curriculum development for undergraduate and graduate courses in Computer Graphics and Virtual Reality . This includes helping
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Workbench, and building an AI chat interface for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and
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interpretation of network-level findings across rare gynecologic cancer subtypes. Build and evaluate retrieval-augmented generation (RAG)-based large language models (LLMs) pipelines to extract key entities
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research, including tool use, reasoning, planning, memory, orchestration, and multi-agent workflows • Biomedical knowledge graphs, retrieval-augmented generation, and knowledge-enhanced AI Primary
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can be augmented by using models. The position is for 2 years. In the project we will aim to optimize Cleaning in Place (CIP) processes for membrane manufacturing. The work will investigate the