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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
diagnosis and solutions, trend analysis, graphics, alarms and reports for the SCADA system. -This is an Emergency Duty position which requires incumbent to work during periods of adverse weather or other
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
diagnosis and solutions, trend analysis, graphics, alarms and reports for the SCADA system. -This is an Emergency Duty position which requires incumbent to work during periods of adverse weather or other
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 20% Collects and harmonizes data from multiple sources, develops QA/QC protocols
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level A Job Title Data Scientist Department Krahn Laboratory Division of Cardiology | Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
diagnosis and solutions, trend analysis, graphics, alarms and reports for the SCADA system. -This is an Emergency Duty position which requires incumbent to work during periods of adverse weather or other
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- Provide statistical support for the preparation of grant proposals, potentially including input on study design, power analysis, and statistical methods - Draft and spearhead the approval of formal data use
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postdoctoral fellows as soon as possible. If you are interested in such positions, you should contact them directly: 1. Bochen Liu, Associate Professor, Research Interests: Harmonic Analysis, Geometric Measure
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, data cleaning, data harmonization, business logic, and exception handling. 10% - Deliver education and training on data domain concepts, standards, guidelines, and processes. Data Analysis 10% - Collect
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commons for diabetes research, including data ingestion, harmonization, and storage, as well as building user-facing portals for data querying and analysis with various interactive and batch-based tools