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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
the IAM Architect and IAM Business Analyst to design, implement, and operationalize solutions, and with the Senior Operations Engineer to ensure the new environment is built on reliable, scalable
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Step into the Manager, Engineering & Operations role at Duke and drive the performance, reliability, and innovation of critical HVAC, plumbing, and building controls across our clinical and hospital
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for engineering, surveys, system or program analysis; support of design and construction of new or renovated buildings; and setting goals and tracking organizational performance. The Assistant Director of
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. Working under the guidance of senior developers, the Software Developer contributes to the design, development, and maintenance of system fixes, enhancements, and integrations that ensure reliable day-to
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: https://genomikadlapolski.pl/ ." We are seeking an ambitious individual to join the Laboratory of Genomics IBCH PAS and engage in the work of the G4PL project team, related to the analysis of genomic data
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equipment health, availability, and resilience under flexible operating conditions. Combine AI-based insights with LEAN and Six Sigma methodologies to support structured root cause analysis and continuous
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) (Dr. Simpson’s webpage). The original call for the solicitation can be found here: https://www.energy.ca.gov/solicitations/2025-02/gfo-24-307-advancing-designs-and-analysis-high-voltage-direct-current
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datasets, spreadsheets, or structured documents. Assist with basic data analysis, such as descriptive statistics, simple comparisons, trend identification, or visualizations under faculty guidance
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boost its quality-oriented research environment in the metropolitan area of Marrakech. About CRSA CRSA is a transversal structure across several UM6P Programs. Research within the center is organized
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; Masters degree preferred Strong SQL expertise Experience working with structured and unstructured data environments Proficiency with BI tools (e.g., Tableau, Power BI) Background in quantitative analysis