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        "event_title":"Graduate Studies in Computational & Data Sciences Information Session",
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        "tags":["analysis of complex survey data","Artificial Intelligence","Astronomy","Basic Science","big data","Biointerfaces","Biology","Biomedical Engineering","Biosciences","Chemical Engineering","Chemistry","Civil and Environmental Engineering","Climate and Space Sciences and Engineering","Complex Systems","Computation","Computational Modeling","Computational Science","computer science","computing","data","data mining","Data Science","data visualization","Ecology","Ecology And Evolutionary Biology","Economics","Education","Electrical Engineering and Computer Science","Engineering","Engineering Academic Calendar","Environment","Epidemiology","Evolutionary Biology","Free","Graduate","Graduate and Professional Students","Graduate School","Graduate Students","Health Data","high performance computing","Industrial and Operations Engineering","Information and Technology","Integrative Systems","Interdisciplinary","Kinesiology","Language","Life Science","Lsaresearch","Materials Science","Mathematics","Mechanical Engineering","Medicine","Micde","Michigan Engineering","Michigan Robotics","Midas","Multidisciplinary Design","Natural Sciences","Naval Architecture and Marine Engineering","Neuroscience","Nuclear Engineering and Radiological Sciences","parallel computing","Pharmacy","Physics","Politics","Psychology","Public Health","Public Policy","Rackham","Research","Robotics","Science","Scientific Computing","Sociology"],
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