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reagents, development and optimization of novel organic reactions, as well as substrate scope investigation including isolation and characterization of products. You must have a two-year master's degree (120
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optimization of SERS substrates, Raman measurement, data analysis, and validation of results with reference methods such as high performance liquid chromatography (HPLC). You are expected to have a solid
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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research approach is based on classical chemical engineering tools combined with formulation expertise and projects are often carried out, inspired by or in close co-operation with industrial partners. We
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traditionally relied on discrete active and passive components, with manufacturing processes remaining largely unchanged and labor-intensive. As part of the ERC project H3PMAG, this project aims to develop