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models to estimate, validate, and optimize the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University
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to improve energy flexibility in our pilot cases Development of building simulation models supporting energy and indoor climate optimization Analysis of building performance data for occupancy detection and
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thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction and optimization. Collaborating with experimentalists and industry
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work tasks As a postdoctoral researcher at Aalborg University, you will lead the AI modeling work in GREENSQL. This includes designing energy-consumption models for raw, dynamic, and embedded SQL queries
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Job Description Are you a researcher focused on thermal energy systems, sustainable industrial heating and cooling, or thermal energy storage? Are you seeking a unique opportunity to make an impact
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HVAC control practices and to develop innovative control strategies for improving comfort and energy performance of buildings and HVAC systems. This includes developing and testing optimized control
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of digital chemical production? Then join DTU Chemical Engineering’s digitalization initiative and be part of building the next generation of smart, semantically linked research infrastructure. The job Over
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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coating production and coating use. Test methods Reliable and fast test methods to optimize coating performance is of utmost importance in coatings development. We work on new test methods and optimisation
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main campus. Depending on the position, the work will involve a combination of experimental research, process simulation, reactor operation, and system-level optimization. We are currently advertising