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simulations and generative model training Implement cutting-edge machine learning techniques for the analysis of molecular data Publish papers in key journals and protect intellectual properties Ensure
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expertise in actively researching and implementing methods in creating foundational data at scale using novel data mining and machine learning techniques. Major Duties/Responsibilities: Contribute to and lead
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applicants to perform engineering analytical work in support of projects within the nuclear non-proliferation/nuclear security arena. The applicant will be responsible for analyzing information, providing
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applicants to perform engineering analytical work in support of projects within the nuclear non-proliferation/nuclear security arena. The applicant will be responsible for analyzing information, providing
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. Develop and apply computational and statistical tools to process and interpret large-scale omics data (e.g., genomics, transcriptomics, metagenomics, metabolomics). Collaborate with cross-functional teams
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measurements on these systems. Data mining and dissemination of large-scale omics datasets. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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statistics, spatio-temporal modeling, decision support, and data mining. Problem sets are often driven by “big data” environments, but many applications must contend with sparse or noisy data and creatively
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challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, electromagnetics, real-time systems, data mining and analysis, machine learning, high
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challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, electromagnetics, real-time systems, data mining and analysis, machine learning, high
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challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, electromagnetics, real-time systems, data mining and analysis, machine learning, high