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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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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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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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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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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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datasets, analyses, and visualizations. Communicate research results through peer-reviewed publications, technical reports, conference presentations, and collaboration with internal ORNL teams and external
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, investigation of radiation–matter interactions, evaluation of material performance under extreme conditions, and the development of innovative approaches to improve the efficiency, selectivity, and durability
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scientific conferences Collaborate with ORNL staff scientists and external collaborators Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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present at major conferences and meetings Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal