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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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visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research
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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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prototype software and visualizations to enable the application of new or existing data processing algorithms to various types and sources of data Prepare presentations, publications, and reports
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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
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systems installation and operation, as well as design/management of LAN, Wireless networks, Audio Visual systems, and Spectrum management for quality and compliance requirements. Requirements could include
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applying large language model (LLM)–based artificial intelligence tools (e.g., ChatGPT, Copilot, Claude). Some knowledge of fundamental concepts in data science, modeling, and data visualization. Familiarity
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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