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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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they can participate dynamically in multi-energy markets at both building and district scale. You will develop high-fidelity techno-economic models of chillers, heat pumps and thermal energy storage
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery
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infrastructures across buildings, industry, district heating, electric power grids, and sector-coupled energy networks. Through interdisciplinary research, large-scale collaborations, and active participation in
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bioreactor performance. Developing and applying modeling tools to evaluate enzyme activity, and process performance across scales. Advance bioprocess optimization of complex microbial systems, including multi
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multi-carrier and cross-border energy grids, and efficiently activate flexibility services. These data-driven advances can deliver system-wide benefits, including lower operation and reserve-procurement
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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process conditions. The group is embedded in the PROSYS research center, part of DTU Chemical Engineering. Key to this scale-down approach is to ensure measurements are made at a small scale in the
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under industrial process conditions. The group is embedded in the PROSYS research center, part of DTU Chemical Engineering. Key to this scale-down approach is to ensure measurements are made at a small