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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
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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data
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and analyze a novel control approach for utility-scale multi-vendor HPPs, to tackle future power grids, characterized by increased complexity and multiple uncertainties. You are expected to model
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. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus
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(supervised by Assoc. Prof. Ivana Konvalinka) and machine learning researchers (co-supervised by Prof. Lars Kai Hansen), you will be responsible for designing and running interactive multi-person (hyperscanning
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of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
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. The technologies include fuel 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
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techniques and AI, engineer robust and adaptive solution systems, and address challenges related to multi-agent coordination and decision-making under uncertainty. The ideal candidate will have a strong
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work in an international, motivating, flexible, supportive, and friendly environment at a leading research and education institution in Europe. About the Multi-omics Network Analytics Group The Multi