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Temporary Online Course Developer – RITM 140 Advanced Cloud Engineering & Intelligent Infrastructure Automation Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies
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, Applications, Architecture, Network, and Security services to develop, maintain, and enhance a secure, high-integrity hybrid enterprise storage and compute infrastructure critical to the university community
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experience in universities or large enterprises, especially in the following areas: artificial intelligence, software engineering, computer security, programming and computer architecture. Candidates must have
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/emerging computer hardware and software technologies, possess a deep understanding of software architectures and experience in turning such technologies into practical, state-of-the-art systems. A close
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Knowledge of systems and mission engineering: Launch System architecture, mission analysis fundamentals, requirements engineering, verification and validation activities, key performance indicator (KPI
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. Bachelor's in architecture, engineering, building construction or related field. Experience with planning, design and construction of historic structures and/or background in historic preservation preferred
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and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across
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quality and maintainability of the (open-source) software, for example, with respect to architectural design, and by facilitating a process including, for example, Git, testing, code reviews and usage
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, foundation models focused on life science data, and narrow models in complex research workflows (for example, through AI agent architectures). The responsibilities include continuously monitoring global AI
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based on quantum dynamics and apply them to advanced learning architectures. The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities