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, computing, and analyzing data using specialized statistical computer software. May perform certain surgical procedures on small lab animals. Assist with training other staff members on procedures; may
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initiatives, emphasizing performance optimization, reliability, and data integrity. Additionally, this role will lead efforts in managing the lifecycle of data archiving solutions, ensuring secure and compliant
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. Performance of Sonography Equipment Use and Maintenance Documentation and Reporting Quality Assessment/Quality Improvement Healthcare Team Interaction Position Compensation Range: $31.35 - $50.16 Hourly MINIMUM
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processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from
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, engagement in performance improvement activities and commitment to standard work. Innovation: is demonstrated by application of technologies that support patient care, actively seeking to implement evidence
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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strategic insights and recommendations to executive leadership based on financial performance and trends. Position Compensation Range: $133,016.00 - $212,825.60 Annual MINIMUM REQUIREMENTS Education
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Ph.D. with a strong background in cardiovascular physiology. This is a restricted position; continuation is dependent on funding and satisfactory performance. This position is located in Charlottesville
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on an evaluation, in collaboration with University Human Resources, of education, research, teaching, and level of scholarly work. Education: Master's degree in Library Science from ALA Accredited program or
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adherence to clinical documentation guidelines, comprehension of outcomes data, engagement in performance improvement activities and commitment to standard work. Innovation: is demonstrated by application