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rule ) immediately before the recruitment date. The research Environment As a PhD Student, you will be embedded in a strong research community that is internationally recognized for excellence in
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Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning
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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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by the fellow’s own academic interests and expertise. In this way, the project combines the strength of being embedded in a larger collaborative research environment with the opportunity to pursue
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academic interests and expertise. In this way, the project combines the strength of being embedded in a larger collaborative research environment with the opportunity to pursue an original and self-defined
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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