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Field
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Crisis: Understanding Social Complexity to improve Crisis Preparedness” (SoCRISP, see https://cordis.europa.eu/project/id/101312131 ). The network consists of a consortium of leading universities and
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programs. Our research and teaching are conducted within seven divisions with different research focuses, as well as a division that provides support and service. The department is an international
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students in various programmes at the Faculty of Science and Engineering, at both undergraduate and advanced levels. Courses are taught in areas such as Lean production, Customer-focused service and
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experimental workflows, data-driven experimental design, hypothesis generation or process modeling, deep learning for spectroscopic data or image processing, and applications of physics-informed machine
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biological function in health and disease. Relevant approaches include carbohydrate and bioconjugation chemistry, metabolic and bioorthogonal labelling, chemical probe design, glycan editing, and mass