547 parallel-computing-numerical-methods-"Prof" uni jobs at The University of Arizona
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team to resolve data issues and maintain accurate curriculum maps that meet program requirements. Maintain and organize curriculum mapping files and related documents, ensuring they are up-to-date and
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Residency Program which is a member of PRICLe PEaR. Preferred Qualifications Have experience working with PRICLe PEaR. Have experience with efforts to increase continuity in a Family Medicine residency clinic
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review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC3 Job Family Data Analysis Job Function Planning & Analysis Type of criminal background check
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Mexico partner goals, state and federal requirements. This is key to accurately assessing and communicating the feasibility of studies to the program and its partners. Conduct preliminary review of pilot
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://mining.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights This temporary position will support the School of Mining and Mineral Resources by creating and organizing comprehensive program
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program and participate in routine lab inspections. Maintain detailed records of chemicals used in the laboratory and arrange for waste disposal according to established procedures. Assist with creating and
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communication skills. Attention to detail skills. Abilities to perform excellent customer service in high-stress situations. Abilities to thrive in a team environment. Knowledge of multiple computer software
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pharmacy degree, a pharmacist license, completion of at least a post-graduate year 1 residency program including clinical scholarship and research experience, attainment of board certification or eligible
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compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator . Career Stream and Level PC1 Job Family Research & Lab Job Function Research Type of criminal background check
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, and basic experimental design. Analytical judgement, and navigation of computer software for data entry. Capable of discussing data conflicts with study team members and commitment to resolution