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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
will be working with the overall objective of making active, durable and cost-effective electrodes for liquid alkaline electrolyzers for hydrogen production. Your primary tasks will be: Synthesis
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. The ideal candidate will demonstrate: Proven experience in thermodynamic modelling, thermo-economic analysis, and multi-objective optimization. Strong publication record in thermal conversion systems (e.g
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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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information about you deleted earlier than the date of the normal deletion of the applicants data. In certain cases, the right to object to UCPH’s processing of the applicants personal data. Applicants can read