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optimization) — from short-term power, thermal, and flow management to longer-term production scheduling and energy-system operation — connecting fast system dynamics with slower operational decisions. Develop
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to show how data-driven tools can support circular production based on inherently low-quality input materials, and how such tools can be adapted to contexts with limited waste management infrastructure
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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challenge in modern urban energy infrastructure: the intelligent, automated monitoring and management of large-scale cooling systems spanning components, buildings, and urban districts. As cooling systems
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design and operation of the offshore power supply system. Join this exciting academia–industry collaboration to reduce emissions from idling vessels anchored between operations and help shape a scalable
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the detection of accelerants, contaminants, and degraded forensic evidence and integrate advanced data processing and visualisation techniques to handle and interpret large hyperspectral data sets. Clearly