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mission by aligning behaviors, priorities, and interactions with our cove values of Impact, Integrity, Teamwork, Safety, and Science. As a member of the ORNL scientific community, you will be expected
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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
team and maintain respectful interactions with other lab members. Have a strong work ethic, being reliable and dependable. Adhere to lab rules and protocols with attention to detail and accuracy
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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postdoc with interests in RNA virology and host-pathogen interactions. For detailed information about the laboratory’s research, see our website (http://www.mouncelab.com). Experience in molecular virology
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permeability assays, murine injury and colitis models, and host-microbe interactions. Key Responsibilities The fellow will: Design and conduct independent and collaborative experiments in gut barrier biology
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process