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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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Job Description If you are an experimental physicist or optical engineer with a passion for nonlinear optics, quantum optics, and advanced fiber technologies, this is your chance to work at the
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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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on realistic workloads and work on model readiness for integration into software quality assessment tools. Together, the partners will co-develop a catalogue of energy-aware SQL optimizations, ensuring
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team working at the interface between chemical engineering, data science, and semantic web technologies. The work will be tightly integrated with other digitalization activities at DTU KT
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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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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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for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and
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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