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promoting anti-racism and equity through its policies, programs, and practices at all levels. ~ Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Department URL: http
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Position Announcement This role offers a unique opportunity to shape the future of data management and analytics at Utah Valley University. As a Data Engineer, you will lead the modernization
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for health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL. As such, you will have the opportunity to work on some of the most challenging and
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University of California San Francisco | San Francisco, California | United States | about 14 hours ago
: 88501BR Employment Duration: 6 months Pay Range: $72,000 - 154,600 Openings: 2 This position is primarily remote; however, occasional on-site presence may be required. The ERP Data Migration Analyst plays a
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vital part of a collaborative, interdisciplinary team that supports students, faculty, and partners across the Information Initiative as they pursue innovative work in data science and interdisciplinary
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data
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. Conduct spatial distribution analysis of tribal and private lands and validate grid compatibility with existing data products. 30% Fit and evaluate statistical models to assess cannabis density patterns
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. Gathers information and provides estimates for project completion. Contacts and manages relations with outside contractors for project completion. Coordinates project from proposal stage through
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established and growing data science program. The primary initial need will be to develop and then first teach several courses for our program from the computer science domain, such as object-oriented
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N_PN_Administration Part Time 88414BR Job Summary Under direct supervision, acquires skills and knowledge of professional concepts in research data analysis. Works on small projects or segments