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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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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
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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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Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally
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code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and
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with application of automated procedures for screening such libraries In-depth knowledge of heterologous protein expression and optimization of same. Hands-on experience with Saccharomyces cerevisiae
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instrument automation Thermodynamics of CO2 absorption and conversion Enzyme discovery You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two