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papers in peer-reviewed Journals are key to the role. You will be responsible for: Design and implement full stack battery intelligence platforms, including: Cloud infrastructure (AWS/Azure/GCP), Backend
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excellence, research growth, and operational performance. Advise the Dean and executive team on emerging technologies (e.g., AI/ML, advanced analytics, automation, cloud architectures) and their implications
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to contribute to our undergraduate and graduate ISA programs in IS, Data Science, Business Analytics and Applied AI. We especially welcome applicants qualified to teach courses in IT Infrastructure and Cloud
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) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning
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/editing. Working knowledge of Adobe Creative Cloud preferred. Knowledge of web design and/or content creation preferred. Demonstrated artistic and/or design skills. Strong oral and written communication
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Infrastructure Services (EIS) designs, builds, and operates campus and cloud-based IT that supports the University’s academic and administrative goals. The Enterprise Infrastructure Services team is expanding
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work autonomously, plan your own delivery, and contribute to modern, cloud‑based AI platforms and products. Your key responsibilities will be to: Design, build and deploy production‑ready ML, AI and Gen
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running and using common cybersecurity tools Experience developing tools and scripts using common software scripting languages (eg. Python, Javascript, Powershell) Basic familiarity with navigating cloud
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that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines
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operations. This role is responsible for the design, security, availability, and modernization of campus network infrastructure, data center systems, cloud-based services, and unified communications and