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system to track proposals. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research
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relevant to biomedical data: named entity recognition, natural language inference, or knowledge graph construction. Knowledge of graph data structures and graph platforms (Neo4j, Amazon Neptune
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prepares graphs and charts for management use or presentations about departmental or divisional activities. • Coordinates and arranges meetings, conferences and committee meetings. • Makes complex travel
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disinfect. Will chart for the dentist in an electronic record and obtain patient medical info, vitals, prescribed digital radio graphs and help with overall patient flow. Will place sealants, temporary
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minor graphing, and statistical methods. Ability to communicate efficiently and effectively with other lab personnel, students and investigators. Ability to analyze & interpret data. Preferred Education
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph
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work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree. Connections
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integration, adaptive multi-agent orchestration, and knowledge-grounded reasoning using structured resources such as ontologies and knowledge graphs. It will also study approaches for building efficient and
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text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply