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/ Responsibilities: If selected, you will provide expert data mining and analysis to identify patterns and draw conclusions from data on freight and passenger transportation projects to solve complex technical
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. Analysts then break down the problem into its various parts using statistical and database software and analytical techniques, such as forecasting, data mining, regression analysis, apparent and root cause
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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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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