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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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for laboratory safety. experience with basic IT tools for data analysis, documentation, and scientific writing (e.g., ChemDraw, Origin, or similar software) is beneficial. prior laboratory experience in synthetic
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, neuroscience, and safety and security. The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University
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systems, neuroscience, and safety and security. The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Oxford
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studies to evaluate the bioactivity, stability and safety of the novel peptides Propose and investigate strategies for the incorporation of the novel peptides on nanocellulose-based hydrogels. Evaluate
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software (e.g. in security), there is an urgent need for verifying the trustworthiness of quantum programs at scale. Features of modern quantum programs such as Quantum Error Correction lead to hybrid