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Field
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(e.g. ADOS-2, ADI-R), is strongly preferred. Knowledge, Skills and Abilities: Knowledge of Microsoft Office suite. Familiarity with statistical packages (e.g., SPSS, R) Ability to work as a member of a
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imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological insights
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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in R, Mplus, AMOS or other latent variable modeling software program Programming: R Population health or health systems Doctoral degree: A doctoral in social sciences (e.g. sociology, psychology
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using R. • Familiarity with exposure reconstruction techniques is a plus. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color
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requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position
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of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with
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Pharmacoepidemiology, Health Services Research, Public Health, Biostatistics, or a related discipline Demonstrated commitment to addressing health disparities Strong quantitative skills (e.g., SAS, R, STATA) Excellent