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University of California Agriculture and Natural Resources | Davis, California | United States | 5 days ago
date will be 01/02/2026. Key Responsibilities: 70% APPLICATION DEVELOPMENT: Use .NET languages, SQL, TypeScript/JavaScript, SASS, HTML5, and SVG to develop web applications, mobile applications, and web
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with databases including database and/or API design. Proficiency in high-level object-oriented programming and scripting languages, such as Python, C++, C#, Java, JavaScript, etc. Interest in Computer
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Process modeling Web based design and development skills: HTML5, Java, JavaScript, or other web technologies Troubleshooting and problem resolution Performance analysis and tuning Proficiency in Workday
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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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, JavaScript, HTML, CSS, Angular) - Experiencia avanzada con lenguaje de programación interpretado (Python). - Experiencia avanzada con bases de datos (SQL). - Autenticación de usuarios (Keycloak
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: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http
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preparation, training, etc.: remaining hours Where to apply Website https://www.linkedin.com/jobs/view/3834699094/?refId=wDgdBI76yGBK38AkOAel9Q%3D%… Requirements Research FieldOtherEducation LevelPhD
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determined by rank and step at appointment. https://drive.google.com/file/d/1QNifxBxLzwVT3Icr63X2YxPZ3aA58AWX/view Application Window Open date: December 16, 2025 Next review date: Tuesday, Jan 13, 2026 at 11
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experience designing, building, and optimising automation frameworks (e.g., Playwright, Selenium, or similar) for UI and API testing, using TypeScript, JavaScript, Python, or Java for automation framework
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: Research: Evidence of sustained research impact and experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript