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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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& 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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well as the future Athena mission and probe-class X-ray mission concepts; simulations, planning, and R&D for several future projects including surveying the Milky Way at high spectral resolution with the Via Project
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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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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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background in health-related research is a plus but not required KNOWLEDGE, SKILLS AND ABILITIES: * Strong coding skills in R, Stata, or other statistical software package. * Strong writing and analytical
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in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R
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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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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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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