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, analysis and visualization technologies, programming systems and environments, and system science and engineering. The Data and AI Systems Research Section has capabilities in the following areas: Learning
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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quality assurance standards and ITIL effective practices. Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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visualize the massive amounts of data that result. ORNL’s artificial intelligence research provides the techniques to link the data producers, e.g., supercomputers and large experimental facilities, with
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specifications, and nominations. Major Duties/Responsibilities: Collaborate with Communications colleagues, researchers, and scientists to produce compelling materials that clearly and effectively communicate
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through multidisciplinary research, data analytics, modeling, engineering design, decision support, and visualization. The group develops innovative tools and technologies to enhance the efficiency
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media lead as needed to ensure continuity of operations. Apply principles of effective web design, visual hierarchy, and user-centered layout within ORNL governance frameworks. Provide guidance to team
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of Cisco IOS. Preferred Qualifications: Ability to handle steadily evolving work priorities, to be able to multitask effectively during busy times, and to exercise patience and integrity during stressful