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and research collaborators, priorities and schedules for meeting interim and final deadlines. Suggest visual materials in support of scientific publications and web content, devising accompanying text
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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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. Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow. Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data
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solutions to compelling problems in energy and security. The Data Science & Visualization Group at Oak Ridge National Laboratory (ORNL) advances AI/ML research and delivers applied solutions that support high
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situations. Ability to work responsibly with or without supervision. Good verbal communication and technical writing skills. Good problem-solving skills and able to visualize a problem or situation, think
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sponsors, scientific peers, executive leadership, and industry partners. Edit, revise, and rewrite scientific and technical documents and visual materials for research staff to enhance clarity, coherence
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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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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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& Scripting: Languages - Pascal, BASIC, Delphi, Visual Basic, C, C++ Scripting - Bash, Perl, Python, Ruby, PEAR, Tcl Systems & Network Administration: Linux – RHEL/CentOS, SUSE, Debian, Ubuntu Windows – 95–10