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for Stem Cell Medicine (reNEW) at the Faculty of Health and Medical Sciences of University of Copenhagen. Our group works with stem cell-based models to produce high-quality neuronal, glial, 3D and
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, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease
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for ultra-early cancer detection Strong background in in vitro mammalian cell culture, including 3D spheroids and organoid models, and in vivo cancer and/or infection models Ability to analyse and interpret
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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. About the research project The project addresses skin cancers and chronic inflammatory/fibrotic skin diseases using the cutting-edge spatial proteomics platform. You will integrate 3D and multiplexed
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DTU Physics and DTU Construct. Our group is a global leader in the field of metals. We invented the synchrotron-based imaging technique Dark-Field X-ray Microscopy (DFXM) and previously 3D X-ray
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. In parallel, the project aims to establish and apply a zebrafish avatar model to examine the role of selected aquaporins in cancer cell invasion and metastatic spread in vivo. Your job responsibilities
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. About the research project The project addresses skin cancers and chronic inflammatory/fibrotic skin diseases using the cutting-edge spatial proteomics platform. You will integrate 3D and multiplexed