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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
and experience. Five years of experience in R, Python, or Perl is required Three years of experience with Linux/Unix environments, HPC or cloud computing, and source control (Git) Four years of hands
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engineering and scientific team members on tasks to develop, operate, and test large, automated pipelines in a cloud environment that process images taken with the Wide-Field Instrument on the Roman Telescope
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research investigators and research staff. Provides technical expertise as an essential member of collaborative research teams. Extracts, manages, and analyzes data in a cloud-computing environment (e.g., VA
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to the Director of Technical Operations or Chief Technology Officer, the Senior Network Engineer collaborates with cloud, infrastructure, endpoint, and security teams and works closely with peers such as Senior
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) and cloud platforms (e.g., AWS, Azure). Experience with database design (e.g., SQL, NoSQL, etc.). Experience with data visualization tools (e.g., Tableau, Power BI, Grafana, etc.). Knowledge, Skills
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schedule system patching and maintenance. Provides leadership in the exploration and adoption of new technologies, including cloud infrastructure and manages the migration of legacy systems to modern
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working with Oracle Integration Cloud, as evidenced by application materials. Professional experience working with Oracle Financials Cloud, including OTBI and/or security configuration, as evidenced by
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The Penn State Smeal College of Business is seeking a talented, data-driven email marketing professional to serve as our primary Marketing Cloud expert and day-to-day campaign executor. In this role, you’ll
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Cloud, Canva). Experience writing about Physics, Materials Sciences, Quantum, Earth Science, or AI. Experience with synchrotron light sources. Required Application Materials CV/Resume Cover Letter Two
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-investigator submissions, and contribute to sponsored project reporting and compliance requirements. Architect and maintain cloud-based ML environments (e.g., Azure, AWS, Databricks) including governance, role