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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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wound healing. Under the supervision of Asst. Prof. Konstantinos Kalogeropoulos and Assoc. Prof. Erwin Schoof, the PhD candidate will join the Protease Systems Biology group embedded in the Cell Diversity
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models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train these methods in a closed-loop
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and interpreting their outputs Experience generating and using protein embeddings Solid understanding of genomics and molecular biology Knowledge of bacterial secondary metabolism would be a major
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working with “DTU Smart Road,” a full-scale pavement research platform at DTU’s main campus that hosts embedded strain and temperature sensors. Experiments will also involve the development and installation