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back-end and data systems, ensuring seamless functionality and optimal performance. The ideal candidate has experience in front-end development, UI/UX best practices, creating no-code/low-code reporting
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on-prem and cloud-based environments to support compliance requirements, performance optimization, and scalability • Leading configuration, deployment, and management of on-prem and cloud-based network
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systems are operating within the desired optimal indoor environmental conditions at the university. The incumbent will work on a variety of mechanical projects and will perform a wide variety of skilled
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savings. The LEE will leverage their substantial experience in the field of energy efficiency & systems optimization to ensure buildings are working at or towards high performance levels. Utilizing the BAS
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, machine learning, optimization, and statistical data analytics are sought. Successful applicants will have experience applying these tools to a range of data problems, such as time-series analysis