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        "description":"ISLE  CASINO BETTENDORF\n1777 Isle Pkwy , Bettendorf, IA\nUSP Thomson Direct Hire Career Fair\nJul 19 9 AM - 1PM \u00b7 Isle Casino Hotel Bettendorf                                                \nJul 20 1PM - 5PM  \n\nImmediate Openings for Correctional Officers and Other Positions\n- Full Time\n- Paid Training\n- Health \/ Dental, Vision \/ Life Insurance\n- Paid vacation , sick & holidays\n- $700 per year in uniform allowance\n- Performance Bonuses\n- Federal Law Enforcement Retirement \n- Advancement Opportunities\n- 5 weeks paid training \n- Additional Military benefits\n- 120 + facilities across the US\n\nContact: \nTOM-Recruitment-S@bop.gov\nFor additional information please visit - www.bop.gov or to view positions please visit www.USAJobs.gov \n\n",
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        "description":"Are you grappling with a piece of code, trying to compute on a University 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, Tuesdays and Thursdays, during the Summer 2022 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\nJoin via Zoom* (https:\/\/umich.zoom.us\/j\/96392817699)\r\n*Users will have to sign in with their UMICH (Level-1) credentials.\r\n\r\nWith Erin Ware (SRC) and Jon Reader (MADRC)\r\n\r\nExpertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda\/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows",
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