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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
requirements, and turn them into actionable outcomes. Expertise in database technologies on any of the following: Oracle MS SQL Server, MySQL, PostgreSQL, MongoDB, Access, and cloud database services. About UCSF
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, they may give you a strong start in the role: Proficiency in scripting with Perl or Bash. Familiarity with PostgreSQL. Experience submitting batch jobs on a computing cluster. Comfortable using tools like
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., PostgreSQL, SQL Server, Oracle) and cloud computing environments (e.g., AWS, Azure). Proficiency with remote sensing software and techniques (e.g., Google Earth Engine, ENVI, machine learning, and AI) Strong
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React front-ends and PostgreSQL databases. The development projects can change based on evolving priorities at PSC. Core Responsibilities: Read and respond to allocation-related issues reported by
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dashboards with advanced features of tools such as Oracle, PostgreSQL, DBeaver, Argos, Power BI, Microsoft Excel/Access, statistical analysis tools like SAS, SPSS, or R. Familiarity with customer
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. Preferred experience with: Relational databases (SQL, MySQL, PostgreSQL) Programming or scripting languages (Python, PowerShell) Solid grasp of core IT concepts (networking, operating systems, user account
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PostgreSQL databases, and strong skills with bash, python, perl, or a comparable scripting language are required. Experience working in higher education is a plus! You will be working with a team of systems
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front-end with a database management system, e.g., PostgreSQL, working with data models - Experience in data preprocessing, working with noisy and diverse data Demonstrated ability to deliver high-quality
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. Experience with database management systems such as MySQL, PostgreSQL, MS SQL Server. Experience with centralized automated configuration management and provisioning solutions for Linux systems such as RedHat
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development (Javascript, HTML/CSS, .NET, and/or related), SQL database systems (SQL Server, PostgreSQL), C#, cloud computing (Google Cloud), Python, ArcGIS, embedded computing, .NET, Visual Studio, computer