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on creating frameworks and middleware that facilitate the integration of quantum computing with traditional HPC and cloud environments. Main activities include designing quantum–classical workflow frameworks
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Bachelor's degree Additional Qualifications and Skills: Knowledge of and experience working with a CRM (Salesforce preferred) and an email/messaging platform (Marketing Cloud preferred). Exceptional written
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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and construction contexts. Proven experience delivering secure, scalable integrations across GIS, BIM, Digital Twin platforms, asset registers, financial systems, and cloud services to support
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, including complex agreements for software, hardware, and cloud services. Conduct financial and risk analysis to support data-driven procurement decisions. Develop long-term sourcing strategies and maintain
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. Proficiency in systems administration, including configuration, maintenance, and troubleshooting of servers, networked devices, storage systems, and backup solutions. Understanding of virtualization, cloud
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of virtualization, cloud computing, and endpoint management technologies. Knowledge of cybersecurity best practices, including identity management, data protection, and secure configuration standards. Equipment
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guidelines. For more information, see https://policy.umn.edu/hr/postdocappoint Responsibility • Lead innovative research on VLM/VLA methods and their applications in autonomous driving and ITS problem
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Knowledge of web content development and cloud services Expert level knowledge of front-end development languages and ability to hand code HTML, CSS, and JavaScript Solid understanding of web standards and
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vulnerabilities, secure mobile and cloud platforms, the design of usable, inclusive security and privacy technologies, and secure and reliable AI systems. Successful applicants will join a collaborative academic