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logistics for teams and game officials, staff, set-up, and crowd control supervision. Collaborate with partners of the Athletics department, campus community, and city agencies to successfully plan, execute
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-day implementation of the RNO coordination plan, establish and maintain project management systems, monitor activities and deliverables across multiple partners and teams, design, implement and oversee
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portfolio of program offerings, including bachelor’s and master’s degrees, professional development offerings for practitioners, pre-college programs for high school students, English language programs, and
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preparation for statistical analysis; Or a Master’s degree in health services research, public health, statistics, economics or a related field Proficiency with at least one statistical programming language
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, Computer Science, Computational Biology, Bioinformatics or a combination of related education and work experience to equal four years. - Experience in Python, Rust, R or other common programming languages (e.g., C/C
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complex financial and data analysis Excellent statistical analysis, data mining, and data modeling skills. Knowledge of programming languages for database management. Ability to create clear and informative
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Previous Job Job Title Program Editor Next Job Apply for Job Job ID 369492 Location Twin Cities Job Family Marketing & Communications Full/Part Time Full-Time Regular/Temporary Regular Job Code
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. Qualifications Required Qualifications Ability to read, write, and communicate in English. Ability to meet the physical requirements of the assignment. This person must be able to lift 50 pounds from the floor
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for recalls Print and manage the unfinished treatment plan reports Scrub the OB and pediatric provider schedules weekly When able, do warm-hand offs with RN team and schedule dental visits for OB and WCC
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Management - 25% Support deployment and troubleshooting of software tools, apps, or large language model (LLM)-integrated interventions created by the group. Develop and refine IT systems (e.g., data pipelines