91 computational-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at Central Michigan University
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services or program-related activities, including duties for a supervisor and handling substantive secretarial/administrative details as directed by the NDS Program Director. This individual serves as the
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team environment to schedule appointments and perform all check-in processes accurately and appropriately for all CMU Health Services patients (multiple clinics, multiple providers). Enters medical
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to detail. Demonstrated positive interpersonal skills. Effective verbal and written communication skills. Ability to project a positive attitude. Ability to manage multiple projects and meet deadlines with
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communications. Demonstrated ability to effectively communicate a complex process to new audiences. Ability to complete multiple simultaneous projects within a deadline. Knowledge of AP style. Preferred
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positive attitude. Ability to manage multiple projects and meet deadlines with accurate results. Ability to compose, proofread and edit correspondence. Ability to perform the essential functions
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This position coordinates and organizes the day-to-day operations of the Office of Indigenous Affairs, the Student Transition Enrichment Program (STEP) and Lesbian, Gay, Bi-sexual, Transgendered and Queer (LGBTQ
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Position Information Position Information Posting Number S-3685 Position Number 78620 Type of Recruitment External Position Title COORDINATOR / ASSESSMENT & PROGRAM EVALUATION / COLLEGE OF MEDICINE
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team environment to schedule appointments and perform all check-in processes accurately and appropriately for all CMU Health Services patients (multiple clinics, multiple providers). Enters medical
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for the medical education program, ensuring the integrity and accuracy of curriculum data, and providing administrative support across various curriculum-related tasks for all four years of the College of Medicine
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statistical program. Experience with assessment of higher education programs. Strong knowledge of quantitative and qualitative analyses. Demonstrated expertise in data visualization tools (e.g., Power BI