7 Statistics positions at University of North Carolina at Chapel Hill in united-States
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
clotting. We use a data-driven, interdisciplinary approach that blends our mathematical, computational, and statistical expertise with biology and biochemistry collaborations. We work with numerical and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
creation of constructed/derived variables * Development of documentation of study data and codebook preparation. * Statistical analysis of HCHS/SOL and SGM SOL data using SAS, STATA, and/or MPLUS * Close
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the creation of constructed/derived variables * Development of documentation of study data and codebook preparation. * Statistical analysis of HCHS/SOL and SGM SOL data using SAS, STATA, and/or MPLUS
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
one or more of the following fields: genetic epidemiology, molecular epidemiology, bioinformatics, or biological/metabolic science with strong statistical training interested in interdisciplinary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
experience with data analysis and statistics. Required Licenses/Certifications Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Position/Schedule Requirements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
biology lab. Must be able to demonstrate quantitative abilities essential for writing code collaboratively, conducting statistical analyses, and producing graphics to visualize data. Must have a work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
design including development of direct measures of learning and other evaluation methodologies. Advanced knowledge and skills in using statistical packages (such as SPSS, SAS, STATA) and/or writing queries