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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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. Preferred Knowledge, Skills, and Abilities: Experience of method development in quantum chemistry. Demonstrable coding experience for example with python, fortran, C++ or others. Experience in modeling
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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Scalable Quantum Devices for the Future Quantum Internet We seek an outstanding experimental physicist to join the Hybrid Quantum Networks Lab (HQNL ) as part of the UK’s Integrated Quantum Networks