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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
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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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, faculty, and staff. Responsibilities: Conduct in-depth qualitative and quantitative data collection with Texas’ agricultural stakeholders, Extension agents, agricultural input suppliers, crop consultants
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”. The main objective of the SPAN network is to address this need by prioritizing the testing of different neuroprotective agents in humans based on their measured comparative efficacy in experimental stroke