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, statistical, probabilistic, or algorithmic solutions to real world problems in the healthcare and biomedical research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has
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, evaluation, packaging, and deployment Conduct rigorous statistical analysis to aid in data exploration and interpretation Benchmark and T&E AI/ML systems against performance metrics and robustness; define and
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range of technical organizations, programs, projects and activities. Exceptional teamwork and statistical skills, with attention to detail and precision, are required attributes. Lead Auditor or assessor
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. Assisting in the preparation of monthly statistical reports by keeping accurate records on all radiographic and laboratory procedures performed. Maintaining quality assurance of the laboratory by performing
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, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration
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external audits and assessments. Experience interacting with auditors, especially the FDA and other regulatory agencies. Exceptional teamwork and statistical skills, with attention to detail and precision
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of the given data. This job offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific computing, for applications with scientific and national
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innovative research in mathematics, statistics and scientific computing, for applications with scientific and national priority. ORNL’s mathematics research efforts provide the fundamental mathematical methods
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Qualifications: Exceptional teamwork, statistical skills, and a positive, meticulous nature with a penchant for detail and precision are required attributes. Experience in leading developing, revising and
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working knowledge in one or more of the following: radiation detection/counting instrumentation, statistical evaluation, TLD processing. Ability to perform or evaluate complex spreadsheet. Preferred