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Field
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ultrasound–optical imaging, contrast agent design, and computational reconstruction, with applications in deep-tissue imaging, tumor microenvironment characterization, and functional sensing. This position
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, the causative agent of leprosy. The Shah lab is focused on pathogenesis of mycobacterial diseases. We perform detailed studies using specimens derived from human samples. This project is focused on developing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
field ? Experience with geocoders ? Experience with clinical research data ? Experience incorporating agentic AI in scientific research workflows ? Experience with data standards and
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dynamics and agent-based modeling approaches. Demonstrated ability to communicate complex technical findings to both scientific and applied audiences. Proven success mentoring undergraduate or graduate
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hematopoiesis to MPN. The lab is also studying how JAK2-V617F mutant stem cells gain resistance to therapeutic agents currently used to treat patients with MPN, such as tyrosine kinase inhibitors and interferon-α
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and multi-agent systems for conservation genomics; perform feature engineering using chromosome-level genome assemblies. 15% Writing: Contribute to scientific manuscripts, progress reports, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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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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dynamics and agent-based modeling approaches. Demonstrated ability to communicate complex technical findings to both scientific and applied audiences. Proven success mentoring undergraduate or graduate