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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
auditing of financial, programmatic functions, and systems. Work will include independent examination and analysis of risks, internal controls, complex reports, records, financial statements, and systems
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linked to the development of the following activities in this project: conducting cutting-edge research on Sustainability and Circular Economy, exploring innovative data analysis tools and theories
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selecting methods and techniques for obtaining solutions. Contacts are both internal and external to the department. The Financial and Administrative Analyst is responsible for complex financial analysis
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this involves analysis of complex survey data. 2. Document research output including analysis and interpretation of all data, maintaining records and databases. 3. Lead and contribute to publications
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inspection planning, programming, precision data acquisition, complex geometric analysis and reporting. Theory and implementation of inspection methodologies including at least two of: non-contact measurement
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; participates in planning, designing, and execution of complex health services research studies; conducts critical analysis of research literature related to health services research; develops plans and resource
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seek colleagues with research interests in any area of applied mathematics, including computational and applied mathematics, mathematical biology, modeling and analysis of complex data and physical
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, skills, and experience in translating complex business needs into technical solutions using advanced analytics, including predictive modeling and statistical analysis, to drive institutional decision
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, web intelligence, and Crystal Reports. Ability to perform complex data analysis with large volumes of data. Expertise on EHR application(s) and a good working knowledge of how the application(s) collect
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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses