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formation energies, adsorption energies, metal-support interactions) and correlate them against measured kinetic parameters. Contribute to multi-agent hypothesis generation and validation architectures and to
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: Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting
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investigating how the intracellular bacterial pathogen Coxiella burnetii, the causative agent of Q fever, reprograms host lipid metabolism to support infection and replication. Current projects focus
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response. The project focuses on ER+ breast cancer, bone metastasis, tumor–immune interactions, macrophage biology, fatty-acid metabolism, and therapeutic targeting. The Postdoctoral Associate will use in
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headwater system in the Upper Colorado River basin to study the effects of disturbance, land cover change, and hydroclimate on the water-energy budget. Focus on changes in snowpack and forest interactions
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Enhancement: Designing immersive social settings that leverage AI to improve interpersonal communication. Projects focus on creating responsive virtual agents and evaluative frameworks for social interaction
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autonomous or semi-autonomous agents that can integrate literature knowledge, analyze multimodal experimental data, generate mechanistic hypotheses, design experiments, and interact with laboratory
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noncrystalline biological and materials systems; NMR-based studies of antibacterial agents, their interactions with bacterial cells, and their mechanisms of action; and Integration of NMR with complementary
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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compounds that enhance the activity of existing antifungal agents, reverse antifungal resistance, and reduce drug-associated toxicity. These studies build on our recent publications describing pantothenate