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Field
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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present at major conferences and meetings Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal
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in Generative AI and Education. This position is ideal for a scholar passionate about exploring how emerging artificial intelligence technologies can advance education and deepen our understanding
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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
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research and development needs within the MDF Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote
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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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for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based
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Intelligence (AI) ethics, law and policy in medical research, education, or clinical care, to complement our growing portfolio of AI related bioethics research. However, we will consider applications from
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Ludwig Princeton Branch, Princeton University | Princeton, New Jersey | United States | 3 months ago
until an excellent fit is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus