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Stanford Web Services (SWS) is seeking a Full Stack Developer (on a one-year fixed-term) to help build statically generated websites and web applications that integrate with multiple third-party
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, and institutional content). • Implementation of Retrieval-Augmented Generation (RAG) with semantic and geographic indexing. • Fine-tuning to improve cultural coherence, multilingual responsiveness, and
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project teams. Comprehensive IT user skills Desirable qualifications are Excellent knowledge in the fields of multimedia systems, digital media technologies, semantic analysis of multimedia content
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available for this position. System Office jobs such as this one are not eligible for the Referral Program. For more information on Civil Service classifications, please visit the SUCSS web site at https
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, microservices, or web-based interfaces that enable secure and intuitive interaction with AI models. Prototype and test AI tools for data summarization, Q&A, semantic search, text generation, and other advanced
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compliance with Web Content Accessibility Guidelines (WCAG) 2.1 Level AA standards. This position plays a critical role in making educational materials accessible to students with disabilities, working
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unstructured sources. ● Conduct web archiving, access data through APIs, and perform web scraping to support research, such as semantic search and text classification. ● Stay current with scholarly publications