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reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy project
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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, and deploy large scale generative models for materials discovery. Work and advance the state-of-the-art in diffusion model architectures for materials. Publish scientific papers and present research
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) interactions of natural materials and the effect of organic compounds on them. The team will merge data from traditional techniques with results from state-of-the-art, ultrahigh resolution instruments and
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FGFR isoforms. Recent advances in AI-driven protein design offer new opportunities to revisit the long-standing challenge of selectively targeting FGFRs. The project will use state-of-the-art AI-based
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researcher, you will join an international research environment with strong and open scientific interactions. Specifically, you will: Take a leading role in shaping and driving enzyme characterization
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-small silicon nanocavities [Babar2023, Rosiek2023] with extreme light-matter interactions. We aim to combine fundamental theory, device design, and our unrivalled capabilities in high-resolution silicon