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Field
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, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's research activities. Postdoctoral Appointees
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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ability to use modern AI-assisted and agentic coding tools effectively, such as Claude Code, Codex, or similar systems, in research and development workflows. Experience in computational neurobiology
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devices, complex machinery parts, and cleaning agents used in the health care sector. Existing data will be enriched with innovative measurements on leachables/extractables using advanced mass spectrometry
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 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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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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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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agents Experience developing infrastructure for machine learning workflows Experience contributing to open data platforms or large scientific databases Awareness of diversity and equal opportunity issues
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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