12 phd-statistics research jobs at University of North Carolina at Chapel Hill in United-States

Post-Doc Research Associate

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

Post-Doc Research Associate

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

Post-Doc Research Associate

one or more of the following fields: genetic epidemiology, molecular epidemiology, bioinformatics, or biological/metabolic science with strong statistical training interested in interdisciplinary

Post-Doc Research Associate

. Tengfei Li. Minimum Education and Experience Requirements PhD in Biostatistics or Statistics. Required Qualifications, Competencies, and Experience 1-2 years in biostatistics, as well as experience with EHR

Post-Doc Research Associate

, machine learning, neural networks & deep learning, multivariate statistics, scientific visualization and nonlinear dynamics are applied in the ongoing investigations. The Principal Investigator and her

Research Assistant Professor

, secondary, and tertiary prevention interventions for suicide. Minimum Education and Experience Requirements A PhD in a field related to the mission of SPI is essential (e.g., statistics, epidemiology, health

Post-Doc Research Associate

Community Clinic (the Clinic). Position Summary The position will require bioinformatics and statistical analysis of astrocyte RNA-Seq data, and manuscript preparation and submission for publication. Minimum

Post-Doc Trainee

before actually beginning the postdoctoral program. Preference will be given to candidates with research oriented doctorates (e.g., PhD, DrPH, ScD) or clinical degrees (e.g., MD, DO, DDS), and those

Post-Doc Trainee

before actually beginning the postdoctoral program. Preference will be given to candidates with research oriented doctorates (e.g., PhD, DrPH, ScD) or clinical degrees (e.g., MD, DO, DDS), and those

Post-Doc Research Associate

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