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while contributing to groundbreaking discoveries in nanomaterials. The group has a traditionally strong focus on hybrid carbon nanostructured materials, but you will also explore transition metal
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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together on mostly experimental topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum
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as well as transferrable skills, the MICRO-PATH DTU candidates will achieve scientific and professional excellence by the end of their studies. Key elements of the holistic training program foreseen in
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selectivity design and optimization of electrochemical and photoelectrochemical reactors, including basic modeling and simulations in collaboration with theory partners quantitative data analysis and
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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the sustainability transition. The IE Group conducts research at the intersection between life cycle assessment (LCA), other quantitative industrial ecology approaches (material flow analysis, input output analysis