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in clinical trials. Ability to communicate effectively, both orally and in writing, with intermediate computer skills. Strong organizational, administrative, and interpersonal skills. Ability
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here . Duties & Responsibilities Set-up and operate electro-mechanical and servo-hydraulic materials testing machines located in the Mines and ARB building at the University of Arizona. Provide routine
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equipment is ready for use. Install and remove vehicle tire chains as needed. Knowledge, Skills, and Abilities: Familiarity of computer programs for electronic documentation retrieval and modification. A well
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equipment is ready for use. Install and remove vehicle tire chains as needed. Knowledge, Skills, and Abilities: Familiarity of computer programs for electronic documentation retrieval and modification. A well
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community-based research by setting up and operating a FibroScan machine (non-invasive test that helps to assess liver steaosis and fibrosis). This includes coordinating schedules with study participants
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coordination with the Block Coordinator team. Collaborate with faculty to update Learning Objectives (LOs) and test questions in the tracker as changes occur. Lead the planning of the annual Tree Blessing
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. Demonstrated record of interdisciplinary collaboration across environmental or related fields. Demonstrated capacity or potential in quantitative methods, data science, machine learning, remote sensing, and/or
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strategies can build a participant’s EHL; and (4) how to successfully broaden participation in STEAM learning by historically underrepresented individuals. The University of Arizona has been recognized for our
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highly detailed records, organize data, prepare data for computer input, and record computer output. Assist with the operation, maintenance, and troubleshooting of equipment, instruments, and apparatuses
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. Enters, maintains, and archives data in computer files for organizations as required using multiple software platforms. Builds referrals using information in patient medical record to provide minimum data