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, the post-doc will organize and lead internal meetings to discuss empirical findings and their conceptual consequences, as well as present project-related insights at conferences and other public events
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operations are accompanied by innovative characterization and modeling techniques. The post-doc will focus on the recycling of concrete (part of the Horizon 2020 EU project “CIRCULess”, in collaboration with
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modeling software such as gPROMS is a plus. The post-doc position is for 1 year, and the work will be executed at TU/e, collaborating closely with an industrial partner and researchers from other academic
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other PhD students and post-docs on this topic. The successful candidate should be excited about applying machine learning and automation to chemistry, specifically setting up a workflow based on active