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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical
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conduct. Additional assets will include: Knowledge of programming languages R and/or Python for the purpose of biological, bioinformatic, and statistical data analysis, including the use of libraries
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to implement data analytics processes and algorithms in scientific programming languages (e.g., Python, R). The ability to collaborate within a multidisciplinary research group. Independent work, collaboration
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statistical software (e.g., SPSS, R, or similar) • Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford we pride ourselves in the great experience we offer
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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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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for licensure in New Jersey. Applicants in All But Degree status will be considered for interviewing Preferred Qualifications Experiencewith data analysis software (e.g., SPSS, R, NVivo) Experience with health
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cleaning Inferential statistical techniques Proficiency in statistical software (e.g., SPSS, R, or similar) Strong communication, teamwork, and flexibility Benefits As one of the largest employers in Oxford