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activities within High-and Low Fidelity learning environments, in line with the teaching requirements and guidelines of the Medicine program. This role will accelerate the development and implementation
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knowledge accelerator established in 2016 to meet increasing demand for computational modelling. Our aim is to apply data science, high-performance computing, and software development to provide innovative
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astronomy. CIRA’s activities draw together academic research and professional staff from a variety of science, engineering, and computing disciplines to tackle unique and demanding challenges in radio
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions
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representation from traditional software, the existing development lifecycle can not fully suit the characteristics of DL systems. This project, from the engineering perspective, aims to explore a better