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University of California Agriculture and Natural Resources | Davis, California | United States | 10 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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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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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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Other None Additional Preferred Strong communications skills Experience in marketing or communications, preferably in higher education Experience with HTML, CSS and JavaScript Experience sending bulk
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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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needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 6th February 2026 Languages English English English PhD Research Fellow in
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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