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., PostgreSQL / SQL) Graph databases (e.g., Neo4j, Memgraph, or equivalent) Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents), including containerized or scalable ML
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For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on a full-time basis
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, preferably PostgreSQL. Experience deploying and supporting applications in AWS or another cloud platform. Experience with Git-based development workflows and code reviews. Frontend: React, TypeScript, Material
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such as React, Angular, Vue.js, Flutter, or React Native; Design, development, and integration of RESTful and/or GraphQL APIs Modeling and implementation of relational (PostgreSQL, MySQL) and non-relational
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teams. 7.Review and improve existing code. 8.Document developed solutions. Where to apply Website https://www.ctfc.cat/registre.php Requirements Research FieldComputer science » Computer systemsEducation
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flexibility supports focused development work. Employment Status: Full-Time (1.0 FTE), Exempt (Salaried), Benefits Eligible Salary Range: $55,000-70,000 annually How to apply: Continue here or visit https
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, highly performant web applications and event-driven microservices using TypeScript, Angular, Node.js, PHP, and WordPress. 5 years of experience using front-end web technologies such as CSS3, HTML5, HTTP (1
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schemas in PostgreSQL. Data Distribution: Familiarity with spatial web data services, data structures, and standard distribution protocols (FTP, HTTP, API endpoints, REST services). Domain Interest
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communication tools such as Microsoft Teams and Zoom. Preferred Qualifications Master’s Degree in a related field is preferred. Experience with PostgreSQL, relational database management, hospital cancer registry
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https