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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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surveys and targeted observations are used to search for active galactic nuclei, trace star formation and measure stellar kinematics within galaxies. How galaxies grow within structures dark matter can be
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We
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