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Knowledge, Skills, and Abilities Doctoral degree in epidemiology, public health, mathematics, behavioral science, health services research, economics, or a related discipline that provides training and skills
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. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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degree in epidemiology, public health, mathematics, behavioral science, health services research, economics, or a related discipline that provides training and skills in quantitative methods. Must have
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required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Certifications/Licenses Required Knowledge, Skills
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of the required doctoral degree completion must be provided prior to commencement of employment. Certifications/Licenses Required Knowledge, Skills, and Abilities Demonstrated excellent writing and statistical and
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in R/Rstudio, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of electromyography and electroencephalography; Ability to publish in peer-reviewed journals, with at least
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, are also encouraged to apply. The successful applicant should have: · A Ph.D. in Earth and planetary sciences, geophysics, astrophysics, applied mathematics, or a closely related field by the start date
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, with additional years dependent on funding and satisfactory performance. Duties include: Lead analyses of longitudinal epidemiologic and molecular data. Develop and apply statistical approaches
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, interviews, and focus groups. Analyze data using appropriate statistical or thematic analysis methods. Dissemination of Findings: Present research findings at national and international conferences,workshops