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virtual/augmented reality applications Collaborate with multidisciplinary teams across computing, engineering, and scientific domains Publish research results in high-impact peer-reviewed journals and
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National Laboratory (ORNL). This is an opportunity to develop novel tools and techniques across scales (river basin to national), publish in top-tier journals, collaborate with industry and academic partners
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research results, as well as publish scientific results in peer-reviewed journals, in a timely manner. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
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artifacts (journal articles). Almost all of our simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor
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, exemplified by peer-reviewed journal publications Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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and dynamic processes Publish research results in peer‑reviewed journals and present at scientific conferences Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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, heat exchangers, and related systems. Analyzing experimental data. Publishing research in leading peer-reviewed journals and conferences. Collaborating with domain scientists and others to maintain a