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Machine Learning (ML) models, including automated testing, reproducible builds, controlled release strategies, and governance workflow integration. Build and manage containerized infrastructure on AKS
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, troubleshooting, and optimization of building automation and energy management systems. Provide technical guidance and escalation support for complex control issues involving HVAC, electrical, and life safety
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algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development
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abnormal operating conditions. These models will be used to detect unsafe behaviour and improve the resilience of power control systems. Designing lightweight AI models suitable for real-time execution
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collaboration with microscopy experts) Plan, perform, and analyze experiments at the cSAXS beamline and contribute to improvements in experimental control and automation Participate in user support at the cSAXS
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https://uscjobs.sc.edu/titles/132114 Job Level A4 - Administrative/Operational Support Business Title (Internal Title) Quality Inspector Campus Columbia Work County Richland College/Division Division
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comfort and/or reduce energy consumption. Troubleshoots building control issues and aids the Energy Management Services in complex problems. Works to optimize the performance of AHU, steam, and chilled
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generalizing AI/ML models to enable joint optimization of different RAN functions within or across protocol layers, in some cases, considering the timeframe of the specific RAN operations in the control loop and
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funnel. This role ensures best practices and optimized processes are utilized to support a student-friendly application process, positive overall student experience, and accurate data management
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking to hire a Research Fellow to