69 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Monash University
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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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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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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
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I am an experimental particle physicist and I specialise in the study of particles containing the beauty and charm quarks. My research aims to help improve our understanding our universe by comparing our experimental observations to predictions made using the Standard Model of Particle...
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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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of Excellence for Future Low-Energy Electronics Technologies. I have projects available within the following areas, all of which can be tailored to either honours or PhD level. "Quantum impurities in quantum
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to be unconventional. I have projects available within the following research areas (at both Honours or PhD level): "Excitons and excitonic superfluidity in monolayer semiconductors" "Interplay of Dirac
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like to learn more. Possible research project comprise a wide range of topics in stellar evolution and nucleosynthesis, including stellar explosions, stellar and planetary dynamics, and neutron stars
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systems. I have projects available within the following areas, all of which can be tailored to either honours or PhD level. "Quantum impurities in quantum gases" "Interactions between strongly coupled light
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental