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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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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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data, and package the best models for industry use. You will also contribute to a joint catalogue of energy-aware SQL optimizations together with Roskilde University and the Software Improvement Group
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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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-objective optimization. Strong publication record in thermal conversion systems (e.g., Carnot batteries, heat pumps) and/or energy storage technologies. Proficiency with scientific tools such as EES, Modelica
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of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
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printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering of mature human liver tissue in vitro. You will work across disciplines, with access to world-class facilities
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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of novel process chains for sustainable protein production from CO2 and renewable energy sources. This position aims to develop and optimize an integrated chemical–biological process chain, incorporating CO2