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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
non-state climate actions. We have applied a range of computational and statistical modeling techniques to this data, including modeling climate change performance, natural language processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
@email.unc.edu. Minimum Education and Experience Requirements Ph.D. in statistics, biostatistics or a closely related field. Required Qualifications, Competencies, and Experience PhD in statistics, biostatistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, Competencies, and Experience -At least 10 years after PhD in cheminformatics, working knowledge of multivariate statistical and data mining techniques, and expertise in computer-assisted drug or computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
employ a variety of modern technologies including advanced statistical analysis and integrate contemporary theories of disease ecology with plant-fungal interactions to develop a dynamical model for
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Experience Requirements * PhD in psychology, genetics, statistics, biology, or related fields. * Experience in quantitative (statistical, mathematical, computational) research with large data sets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of HCHS/SOL and SGM SOL data including data cleaning activities and the creation of constructed/derived variables * Development of documentation of study data and codebook preparation. * Statistical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
. * Supervision of junior trainees (PhD, Masters, MPH, and medical students) The selected fellow will have rich training opportunities working with the large interdisciplinary SPI team. The fellow will be able
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
to maintain, operate, and troubleshoot LC-MS systems and will be responsible for analyzing metabolomics datasets, including statistical and multivariate analysis, pathway analysis and data