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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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, particularly molecular cloning Experience with the creation of DNA / peptide libraries (e.g., by error-prone PCR) Experience in working with (antimicrobial) peptides and peptide-based natural products (e.g
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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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needed to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure
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of relevant parameters, and providing realistic error estimates for positioning. A concept for a user warning system will also be developed. The IOW (Leibniz Institute for Baltic Sea Research) contributes
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of biological systems (e.g. regression, classification, anomaly detection, fault diagnosis, and interpretable machine learning). Basic understanding of environmental science, agriculture, bioeconomy, microbiomes