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scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related discipline completed within the last five
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, work together, and measure success. Basic Qualifications: A PhD degree in Computer Science or a related discipline. A strong background in scientific data visualization, uncertainty quantification, AI/ML
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Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations Active participation in professional organizations Basic Qualifications: A PhD in
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Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations Active participation in professional organizations Basic Qualifications: A PhD in
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Qualifications: Applicants must have either received their PhD in a STEM or National Security field no more than 5 years prior to or expect to be awarded their PhD no later than 6 months after the application date
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environment that promotes rapid innovation and attracts skilled professionals. Leveraging a 75-plus-year UT-ORNL partnership, UT and ORNL have developed joint institutes, joint facilities, interdisciplinary PhD
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success. Basic Qualifications: A PhD degree in Computer Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C
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). Preferred Qualifications: MS or PhD equivalent in engineering, science, or physics. Proficiency in time synchronization protocols (e.g., GPS, White Rabbit, IEEE 1588 PTP, event timing systems) and precision
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other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer
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mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data