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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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the most interesting thermonuclear reactions occur deep in their interiors; the red giant phase is also when stars are more likely to interact with a gravitionally bound companion, if they have one! Students
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) and Professor Bruno David of Monash University. These PhD projects will be part of the broader ARC project that aims to investigate the deep-time Aboriginal occupation of the shoreline and near-shore
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in
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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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market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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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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per the Monash Research Training Program (RTP) Stipend Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions About
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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