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that HVAC and related systems are effectively monitored, controlled, and optimized through both centralized energy management systems and local operations, while maintaining full compliance with safety and
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distinctive feature will be the adaptive control of mobile sensors to optimize data collection and further reduce uncertainties. This PhD strives for strong scientific impact, contributing to global emission
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
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position in the Department of Biomedical Sciences at Marquette University. The Evans lab studies neural control of sleep and daily rhythms, using real-time cellular imaging, genetic manipulations
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data management concepts. Demonstrated working knowledge of data modeling and query optimization. Demonstrated working knowledge of Extract, Transform, Load (ETL) concepts and data integration processes
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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://www.nus.edu.sg/finance
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in the tramway network of the city of Palermo. The main objective is to design and validate advanced control algorithms capable of optimally managing the power flow between the DC traction network