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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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, 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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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
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-oriented programming and scripting languages, such as Python, C++, C#, Java, JavaScript, etc. Interest in Computer Vision, ML, and AI concepts. Ability to lead a small team of engineers and share knowledge
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High School Diploma or equivalent Required Other None Additional Preferred Experience with: Higher education technology Developing user-facing web applications Programming with Javascript or .Net Object
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needs JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. Jarli & Jordan/ UiO 27th January 2026 Languages English English English DevOps / Support
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with appropriate notification of a department administrator. Bachelor's degree in computer science, information technology/systems or engineering. Knowledge of HTML, CSS, JavaScript/jQuery, XML, JSON
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
, HTML, JavaScript, CSS - Expertise in developing iOS applications using SwiftUI - Experience in working with large-scale datasets, with a focus on spatial analyses such as K-Nearest Neighbor (KNN