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Moller Institute (MMMI) , at the University of Southern Denmark (SDU) , invites applications for a fully funded PhD position on the topic of automated mapping and identification of large structure
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fluorescently label CTCs, enabling precise isolation and downstream single-cell analysis. Using state-of-the-art Orbitrap mass spectrometry, automated sample preparation, and computational integration with
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imaging studies of operating zinc-air batteries. Use automated Rietveld refinement for analysis of large data sets and Computed Tomography analysis of the imaging data. Dissemination of research results
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of operating zinc-air batteries. Use automated Rietveld refinement for analysis of large data sets and Computed Tomography analysis of the imaging data. Dissemination of research results. Qualifications expected
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chromatography, size exclusion chromatography). Familiarity with enzyme kinetics and assay development. Exposure to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold3. Interest in automation and high
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verify hits. Ideally, a fully automated and fast "loop" could be realized in which, 1, a promising material is predicted, 2, it is synthesized, 3, it is tested for activity and stability and, 4
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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements