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. The mission of the lab is to follow a network-based approach to understand the pathogenesis of neurodegenerative diseases (mainly Parkinson's disease and secondarily Alzheimer's disease), with the ultimate aim
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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, federated modeling frameworks, multi-agent systems, and AI pipelines for dairy farming applications. Develop, co-lead, and contribute to competitive grant proposals (federal, state, foundation, and industry
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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
. Basic knowledge experience in state-of-the-art Generative AI application development, LLM model tuning, agentic AI, and model context protocol (MCP). Preferred Qualifications Interpersonal skills in
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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fungal infections. Emerging research is exploring radiometals conjugated with targeting molecules for in vivo imaging of infections via PET or SPECT. These agents can also be linked to therapeutics
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models