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        "description":"Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces, Mondays \u2013 Thursdays, during the Summer 2021 term to get research support and connect with others.\r\n\r\nThe virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.\r\n\r\nOur hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.\r\n\r\nCoderSpaces provide a casual, productive, and inclusive environment. Everyone is welcome regardless of skill level.\r\n\r\nTuesdays 2-3:30 p.m.\r\nJoin via Zoom* (https:\/\/umich.zoom.us\/j\/99832397131)\r\n*Users will have to sign in with their UMICH (Level-1) credentials.\r\n\r\nwith Alexander Gaenko (CSCAR), Chen Chen (PDHP\/ISR), Liz Hanley (PDHP\/ISR), Paul Schulz (PDHP\/ISR)\r\n\r\nExpertise: C\/C++, CMake\/GNU Make, data management, data visualization, Fortran, Git, high performance computing, Julia, Mplus, natural language processing, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), text analysis, web applications (front-end HTML\/CSS\/JavaScript stack), web scraping",
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