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with Salesforce (Service Cloud preferred) or similar case management systems, contact center, or interaction management platforms. Demonstrated ability to analyze data and produce actionable reporting
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, conducting quality control on results, uploading results to cloud storage, sharing data with our collaborators at other institutes, and presenting results to the group (see below), and possibly running R
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backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network security, information assurance, satellite systems, vehicular
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with LLM's and/or AI models Experience with cloud deployments and databases. A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
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innovation, inclusion and continuous improvement. You’ll bring: Experience with cloud platforms and modern full-stack development Strong capability in Python and FastAPI for scalable APIs and microservices
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recovery assurance and cloud concentration risk, integrating supplier evidence into continuity reporting. What you’ll bring Significant enterprise‑scale experience across ITDR/BCM and broad technologies
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integrated, flexible, and highly complex research infrastructure including network, storage, security systems, and other research-related cyberinfrastructure using hybrid and cloud methodologies. Implements
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, administration, TCP/IP, DHCP, DNS, routing, project management, and cloud-based technologies (AWS, Azure). Three or more years of successful teaching experience in a college or university is preferred, with a
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confidentiality. Why does this matter now? Wearable devices have made round-the-clock health data commonplace, cloud computing places vast processing power at our fingertips, and patients are demanding care
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, artificial intelligence (AI), and cloud computing expand. This growth presents both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive