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, contextually appropriate, and scalable, and will iteratively test and evaluate prototypes in real-world settings. The ARC Industrial Transformation Training Centre for Optimal Ageing The successful candidate
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supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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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
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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● Electrical and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291
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are supported by quantum mechanical theoretical formalisms. Our fundamental findings yield promise for future applications in electronics, optoelectronics, spintronics, information processing and storage, sensing
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ironmaking, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in
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of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements
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spectroscopy and Gaia data of star clusters to decipher the mystery of the Lithium-rich giant stars" (with Prof John Lattanzio) "The origin of the heavy elements: Computer simulations of neutron-capture