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, Monte Carlo simulations, statistical mechanics, fluid mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins and nucleic acids), coarse-grain and
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are particularly interested in candidates with computational modeling and strong statistical skills. Other duties include contribution to other ongoing center projects, preparation of and participation in workshops
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of population genetic statistics for analyzing microbiome data. Additional responsibilities include maintain labs servers and training undergraduate and graduate students and postdocs in bioinformatics
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contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R) - Experience designing research studies and
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statistical skills. Ability to exercise independent research and judgment. Knowledge of or ability to quickly learn OnBase Document Imaging system for document retrieval. In depth knowledge and use of Excel
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letters) for at least 2 references (we will contact references for letters at a later stage). Preferred: - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R
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an equivalent) as well as a good foundation in statistics. Knowledge of the Qualtrics survey platform is beneficial but not necessary. The Term of appointment is based on rank. Positions at the postdoctoral
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includes working with large, complex datasets using statistical programming languages, including Stata and/or R. Ability to multi-task and prioritize effectively to meet internal and external deadlines
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to distribute student information in a timely and accurate manner; manages the Study Abroad Fair, Passport Day, and other SAP program events; assists with providing reports, statistics, and analyzing study abroad
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written communication skills Ability to take initiative and attention to detail. Ability to respond promptly and professionally to customer requests. Experience with statistical methodologies. Experience