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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and
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& Dining Enterprises (R&DE), the largest auxiliary organization at Stanford University, supports the academic mission of the University by providing high-quality services to students and other members
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of molecular biology and genomics; fluency in Unix and standard programming and data analysis languages (Python, R, or equivalent); interest in mentoring and training other lab members in computational biology
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dedicated to finding solutions to big challenges and to preparing students for leadership in a complex world. Residential & Dining Enterprises (R&DE), the largest auxiliary organization at Stanford University
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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ethic, excellent organization and interpersonal skills, and mastery of word/excel/powerpoint are required. Proficiency in data analyses programs such as R preferred. This is a hybrid eligible position
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Proficiency in statistical software such as Python, R, SAS, and/ or STATA. Excellent written and verbal communication skills, with experience writing research papers and effectively communicate information
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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fields Some experience with basic laboratory techniques Some familiarity with data analysis, and a programming language such as R, Python, or experience in Matlab or Mathematica EDUCATION & EXPERIENCE
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epidemiology. Statistical analysis using SAS or R, research experience in epidemiology or clinical research. EDUCATION & EXPERIENCE (REQUIRED): Bachelor of Arts degree in an applicable social science related