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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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This is a joint PhD project with Professor Andreas Walther at University of Freiburg . Find out more about Professor Walther's research team
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dissipation along the edges of the material. It is hoped that these sorts of materials will one day replace conventional silicon based electronics. This work is carried out within the Centre of Excellence
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the detailed interaction between matter and light in the extreme conditions of stellar interiors is still poorly understood. Despite this, stars remain the ideal laboratories to understand how galaxies form
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6.0; or TOEFL, internet based Overall 79, Reading 13, Listening 13, Speaking 18 and Writing 21) is provided at https://study.curtin.edu.au/applying/english-language-requirements/accepted-english
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The Adelaide Graduate Research School is partnering with the Department for Environment and Water to provide various research internship opportunities for our PhD students. The Department
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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and stellar interiors, birth properties of black holes and neutron stars, supernova light curves and...
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental colleauges in the School, in the Monash Centre for Electron Microscopy (MCEM) and abroad, with the goal...
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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learning architecture for real-time underwater acoustic communication: State-of-the-art deep learning is not practical to be embedded with limited resources in real-time, since deep learning is cumbersome